{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "20912b0b-4f74-a799-cc81-73bb528f5c15"
   },
   "source": [
    "From the univariate analysis notebook, \n",
    "\n",
    "https://www.kaggle.com/sudalairajkumar/two-sigma-financial-modeling/univariate-analysis-regression-lb-0-006/notebook\n",
    "\n",
    "it seems we are getting a good score if we use the variable 'technical_20' and build a model. However if we use the top 4 variables and build a model, we are getting a negative public score though our local validation score improved to 0.0195. So how do we tackle this?\n",
    "\n",
    "Also from the kagglegym api, we get the rewards (R value) for individual timestamps and finally for the whole test data set. These individual rewards are very hard to make sense since it is highly influenced by the mean target value of the given timestamp. \n",
    "\n",
    "So I thought probably **looking at the cumulative R value till the given timestamp** might help a little more (as mean target values are averaged over all the points till the given timestamp) to build a more robust model and here is an attempt to understand the performance of some of the top public scripts.\n",
    "\n",
    "Kindly upvote if you find this useful and / or share your comments. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "7ada3de0-9a24-776f-072c-6382712ebb53"
   },
   "outputs": [],
   "source": [
    "# Import all the necessary packages \n",
    "import kagglegym\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.ensemble import ExtraTreesRegressor\n",
    "from sklearn.linear_model import LinearRegression, Ridge\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "51af1788-a62c-cec9-0847-dc6ce26a09f4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opening ../input/train.h5 in read-only mode\n"
     ]
    }
   ],
   "source": [
    "# Read the full data set stored as HDF5 file\n",
    "full_df = pd.read_hdf('../input/train.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "_cell_guid": "6209a6ea-e558-1d3f-d054-e89dfdf35076"
   },
   "outputs": [],
   "source": [
    "# A custom function to compute the R score\n",
    "def get_reward(y_true, y_fit):\n",
    "    R2 = 1 - np.sum((y_true - y_fit)**2) / np.sum((y_true - np.mean(y_true))**2)\n",
    "    R = np.sign(R2) * math.sqrt(abs(R2))\n",
    "    return(R)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "_cell_guid": "b28ca150-e60a-05df-e10a-98e43d31efaf"
   },
   "outputs": [],
   "source": [
    "# Some pre-processing as seen from most of the public scripts.\n",
    "# The \"environment\" is our interface for code competitions\n",
    "env = kagglegym.make()\n",
    "\n",
    "# We get our initial observation by calling \"reset\"\n",
    "observation = env.reset()\n",
    "target_var = 'y'\n",
    "\n",
    "# Get the train dataframe\n",
    "train = observation.train\n",
    "mean_values = train.median(axis=0)\n",
    "train.fillna(mean_values, inplace=True)\n",
    "\n",
    "# Observed with histograns:\n",
    "low_y_cut = -0.086093\n",
    "high_y_cut = 0.093497\n",
    "\n",
    "y_is_above_cut = (train.y > high_y_cut)\n",
    "y_is_below_cut = (train.y < low_y_cut)\n",
    "y_is_within_cut = (~y_is_above_cut & ~y_is_below_cut)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "d685b2d3-2a74-bb62-5449-d727b2db0862"
   },
   "source": [
    "**Ridge Regression:**\n",
    "\n",
    "The base script can be seen here\n",
    "\n",
    "https://www.kaggle.com/ymcdull/two-sigma-financial-modeling/ridge-lb-0-0100659/\n",
    "\n",
    "We shall first run a univariate ridge regression using 'technical_20' variable alone and see how the cumulative R value changes over time. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_cell_guid": "e5517572-05e6-1f13-ccb5-5913a3c45995"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Timestamp #1000\n",
      "Timestamp #1100\n",
      "Timestamp #1200\n",
      "Timestamp #1300\n",
      "Timestamp #1400\n",
      "Timestamp #1500\n",
      "Timestamp #1600\n",
      "Timestamp #1700\n",
      "Timestamp #1800\n",
      "{'public_score': 0.017155811636456242}\n"
     ]
    }
   ],
   "source": [
    "### https://www.kaggle.com/ymcdull/two-sigma-financial-modeling/ridge-lb-0-0100659/run/545100\n",
    "# The \"environment\" is our interface for code competitions\n",
    "env = kagglegym.make()\n",
    "\n",
    "# We get our initial observation by calling \"reset\"\n",
    "observation = env.reset()\n",
    "\n",
    "# cols_to_use for ridge model\n",
    "#cols_to_use = ['technical_30', 'technical_20', 'fundamental_11']\n",
    "cols_to_use = ['technical_20']\n",
    "\n",
    "# model build\n",
    "model = Ridge()\n",
    "model.fit(np.array(train.loc[y_is_within_cut, cols_to_use].values), train.loc[y_is_within_cut, target_var])\n",
    "\n",
    "# getting the y mean dict for averaging\n",
    "ymean_dict = dict(train.groupby([\"id\"])[\"y\"].mean())\n",
    "\n",
    "# weighted average of model & mean\n",
    "def get_weighted_y(series):\n",
    "    id, y = series[\"id\"], series[\"y\"]\n",
    "    return 0.95 * y + 0.05 * ymean_dict[id] if id in ymean_dict else y\n",
    "\n",
    "y_actual_list = []\n",
    "y_pred_list = []\n",
    "r1_overall_reward_list = []\n",
    "ts_list = []\n",
    "while True:\n",
    "    timestamp = observation.features[\"timestamp\"][0]\n",
    "    actual_y = list(full_df[full_df[\"timestamp\"] == timestamp][\"y\"].values)\n",
    "    observation.features.fillna(mean_values, inplace=True)\n",
    "    test_x = np.array(observation.features[cols_to_use].values)\n",
    "    observation.target.y = model.predict(test_x).clip(low_y_cut, high_y_cut)\n",
    "    \n",
    "    ## weighted y using average value\n",
    "    observation.target.y = observation.target.apply(get_weighted_y, axis = 1)\n",
    "    target = observation.target\n",
    "    observation, reward, done, info = env.step(target)\n",
    "    \n",
    "    if timestamp % 100 == 0:\n",
    "        print(\"Timestamp #{}\".format(timestamp))\n",
    "    \n",
    "    pred_y = list(target.y.values)\n",
    "    y_actual_list.extend(actual_y)\n",
    "    y_pred_list.extend(pred_y)\n",
    "    overall_reward = get_reward(np.array(y_actual_list), np.array(y_pred_list))\n",
    "    r1_overall_reward_list.append(overall_reward)\n",
    "    ts_list.append(timestamp)\n",
    "    if done:\n",
    "        break\n",
    "    \n",
    "print(info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "c01dc288-7c28-82a0-3157-b29cdad7ab22"
   },
   "source": [
    "We are getting a final R score of 0.01751 using this model. Now let us look at how the cumulative R value changes over time by plotting it along with zero-line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_cell_guid": "17407ebd-300f-660d-b487-638b0d0f287d"
   },
   "outputs": [
    {
     "data": {
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9yHwS4JcMyzL5KERV2c1sCJ5hedzMNgghzK/ugcHHDb4dtfM6M9sO7yp6brxO9J69igcU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\nJEmSJuj/AGA8qf+olicZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0456a9d780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "plt.plot(ts_list, r1_overall_reward_list, c='blue')\n",
    "plt.plot(ts_list, [0]*len(ts_list), c='red')\n",
    "plt.title(\"Cumulative R value change for Univariate Ridge (technical_20)\")\n",
    "plt.ylim([-0.04,0.04])\n",
    "plt.xlim([850, 1850])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "0ded26ed-d1b1-591f-fbb3-427bfc8b4435"
   },
   "source": [
    "As we could clearly see, the cumulative R values are not positive throughout. \n",
    "\n",
    "Even after initial ~400 timestamps (meaning we have considerable amount of data), the cumulative R value went below the zero mark (I think this is due to the nature of the data we are dealing with). And finally the cumulative R values went above zero mark and stayed there till the end. \n",
    "\n",
    "So there is a possibility of R value ending up less than 0 in the private test set.! \n",
    "\n",
    "Now let us use two variables and build the ridge model.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_cell_guid": "da0fbc7f-22a3-f0f2-9208-7a8d91fdf1b0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Timestamp #1000\n",
      "Timestamp #1100\n",
      "Timestamp #1200\n",
      "Timestamp #1300\n",
      "Timestamp #1400\n",
      "Timestamp #1500\n",
      "Timestamp #1600\n",
      "Timestamp #1700\n",
      "Timestamp #1800\n",
      "{'public_score': 0.019403514350348074}\n"
     ]
    }
   ],
   "source": [
    "### https://www.kaggle.com/ymcdull/two-sigma-financial-modeling/ridge-lb-0-0100659/run/545100\n",
    "# The \"environment\" is our interface for code competitions\n",
    "env = kagglegym.make()\n",
    "\n",
    "# We get our initial observation by calling \"reset\"\n",
    "observation = env.reset()\n",
    "\n",
    "# cols_to_use for ridge model\n",
    "#cols_to_use = ['technical_30', 'technical_20', 'fundamental_11']\n",
    "cols_to_use = ['technical_30', 'technical_20']\n",
    "\n",
    "# model build\n",
    "model = Ridge()\n",
    "model.fit(np.array(train.loc[y_is_within_cut, cols_to_use].values), train.loc[y_is_within_cut, target_var])\n",
    "\n",
    "# getting the y mean dict for averaging\n",
    "ymean_dict = dict(train.groupby([\"id\"])[\"y\"].mean())\n",
    "\n",
    "# weighted average of model & mean\n",
    "def get_weighted_y(series):\n",
    "    id, y = series[\"id\"], series[\"y\"]\n",
    "    return 0.95 * y + 0.05 * ymean_dict[id] if id in ymean_dict else y\n",
    "\n",
    "y_actual_list = []\n",
    "y_pred_list = []\n",
    "r2_overall_reward_list = []\n",
    "ts_list = []\n",
    "while True:\n",
    "    timestamp = observation.features[\"timestamp\"][0]\n",
    "    actual_y = list(full_df[full_df[\"timestamp\"] == timestamp][\"y\"].values)\n",
    "    observation.features.fillna(mean_values, inplace=True)\n",
    "    test_x = np.array(observation.features[cols_to_use].values)\n",
    "    observation.target.y = model.predict(test_x).clip(low_y_cut, high_y_cut)\n",
    "    \n",
    "    ## weighted y using average value\n",
    "    observation.target.y = observation.target.apply(get_weighted_y, axis = 1)\n",
    "    target = observation.target\n",
    "    observation, reward, done, info = env.step(target)\n",
    "    \n",
    "    if timestamp % 100 == 0:\n",
    "        print(\"Timestamp #{}\".format(timestamp))\n",
    "    \n",
    "    pred_y = list(target.y.values)\n",
    "    y_actual_list.extend(actual_y)\n",
    "    y_pred_list.extend(pred_y)\n",
    "    overall_reward = get_reward(np.array(y_actual_list), np.array(y_pred_list))\n",
    "    r2_overall_reward_list.append(overall_reward)\n",
    "    ts_list.append(timestamp)\n",
    "    if done:\n",
    "        break\n",
    "    \n",
    "print(info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "d0086e17-f5a4-27a1-ab18-09d9b3dde7cc"
   },
   "source": [
    "The final R value of 0.019 is better than the previous one of 0.017\n",
    "\n",
    "We can plot both the previous model and the current model to see how the cumulative R value changes for both the models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "_cell_guid": "35afe1af-6725-25d6-b3f7-9d036d236f4b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fwMnA9EDZ+fi5BDrhl3gqMCBwzi01s6fw3c5/MrNP8d2Zu+DHS/cvZluDvgIeMb9W9RR8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\nMkaRak1t0zHvGd9Tf759xQlsfO1aKhsqqffU47enA5CVJQqgnXWWEL1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O+aF3OLT0GlmV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FEjzbOgVO6Yu9GKVF0tRbFQdpljbmWFuVsJ8zlSGMpuaAZpqzZf0qxjbtjhDRYWJEVhgKYmWLVK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0456a9d198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.plot(ts_list, r2_overall_reward_list, c='green', label='ridge-2')\n",
    "ax.plot(ts_list, r1_overall_reward_list, c='blue', label='ridge-1')\n",
    "ax.plot(ts_list, [0]*len(ts_list), c='red', label='zero line')\n",
    "ax.legend(loc='lower right')\n",
    "ax.set_ylim([-0.04,0.04])\n",
    "ax.set_xlim([850, 1850])\n",
    "plt.title(\"Cumulative R value change for Bivariate Ridge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "dcd6231d-48f7-d694-eb12-b01a02e12786"
   },
   "source": [
    "There is not much of a change in the trend for both the models as we can see. \n",
    "\n",
    "In most places, when the R value is above zero mark, bivariate ridge gave better scores than univariate one. On the contrary, when the scores are less than 0, univariate gave better scores than bivariate. \n",
    "\n",
    "Now let us add the third variable 'fundamental_11' to our ridge model (public LB score 0.010) and see the results. \n",
    "https://www.kaggle.com/ymcdull/two-sigma-financial-modeling/ridge-lb-0-0100659/run/545656"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "_cell_guid": "51e09de0-8a2d-1c7d-f40a-acaf8ee3e1fd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Timestamp #1000\n",
      "Timestamp #1100\n",
      "Timestamp #1200\n",
      "Timestamp #1300\n",
      "Timestamp #1400\n",
      "Timestamp #1500\n",
      "Timestamp #1600\n",
      "Timestamp #1700\n",
      "Timestamp #1800\n",
      "{'public_score': 0.019464318277382934}\n"
     ]
    }
   ],
   "source": [
    "### https://www.kaggle.com/ymcdull/two-sigma-financial-modeling/ridge-lb-0-0100659/run/545100\n",
    "# The \"environment\" is our interface for code competitions\n",
    "env = kagglegym.make()\n",
    "\n",
    "# We get our initial observation by calling \"reset\"\n",
    "observation = env.reset()\n",
    "\n",
    "# cols_to_use for ridge model\n",
    "cols_to_use = ['technical_30', 'technical_20', 'fundamental_11']\n",
    "\n",
    "# model build\n",
    "model = Ridge()\n",
    "model.fit(np.array(train.loc[y_is_within_cut, cols_to_use].values), train.loc[y_is_within_cut, target_var])\n",
    "\n",
    "# getting the y mean dict for averaging\n",
    "ymean_dict = dict(train.groupby([\"id\"])[\"y\"].mean())\n",
    "\n",
    "# weighted average of model & mean\n",
    "def get_weighted_y(series):\n",
    "    id, y = series[\"id\"], series[\"y\"]\n",
    "    return 0.95 * y + 0.05 * ymean_dict[id] if id in ymean_dict else y\n",
    "\n",
    "y_actual_list = []\n",
    "y_pred_list = []\n",
    "r3_overall_reward_list = []\n",
    "ts_list = []\n",
    "while True:\n",
    "    timestamp = observation.features[\"timestamp\"][0]\n",
    "    actual_y = list(full_df[full_df[\"timestamp\"] == timestamp][\"y\"].values)\n",
    "    observation.features.fillna(mean_values, inplace=True)\n",
    "    test_x = np.array(observation.features[cols_to_use].values)\n",
    "    observation.target.y = model.predict(test_x).clip(low_y_cut, high_y_cut)\n",
    "    \n",
    "    ## weighted y using average value\n",
    "    observation.target.y = observation.target.apply(get_weighted_y, axis = 1)\n",
    "    target = observation.target\n",
    "    observation, reward, done, info = env.step(target)\n",
    "    \n",
    "    if timestamp % 100 == 0:\n",
    "        print(\"Timestamp #{}\".format(timestamp))\n",
    "    \n",
    "    pred_y = list(target.y.values)\n",
    "    y_actual_list.extend(actual_y)\n",
    "    y_pred_list.extend(pred_y)\n",
    "    overall_reward = get_reward(np.array(y_actual_list), np.array(y_pred_list))\n",
    "    r3_overall_reward_list.append(overall_reward)\n",
    "    ts_list.append(timestamp)\n",
    "    if done:\n",
    "        break\n",
    "    \n",
    "print(info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "0f8bf0e7-7e54-3396-1368-99aca0a178f6"
   },
   "source": [
    "There is a very slight improvement in the validation R score from 0.01940 0.01946.\n",
    "\n",
    "Now let us look at the cumulative R score plots of both the models as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "_cell_guid": "282699a4-1ccf-82f4-75a0-0a372254dfbb"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RERERkSZJgXlTV9tirjHmIiIiIiIiTZIC8yYuFEoBwNWEk1wTERERERER2RoK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pZjBcI80tuL0DQc08TOZLyfnxXmofZ2zn7ta+ndvZuOnTtp37aN9rPPBrJRdkdhNOXFScMTmYIi\nLj3huVH1cMwjfX1MHz4cfD+ZF2cHeMcl70ATGiNfvg3XdTGnvZvXxOnT6Guw+VvnuecCcPrnPweW\nIMz7+gCYPXWKqYMHSQwNBc8lh4YId3ejqGrwGWvdsIFoxvssyjpzSTHGU+MIBO3hdrqiy3fMXded\nM0IsHo7z5NCTwXNf3PtFnh9/HsgJ87HkGA8ef3BZP7eaWLZ3zm5Ne39D69vWM334MEZ7e9D8MtzZ\nieoK0snZgvvxhbZa4PrdE/LKlM7MngHyHHMZZZdIJHVEZnSbgKZyzB2/xrwcx7y2wtz7GeUdi6Q4\nWjiM4gqcGkXZTdtEdb3fU6SnB0XXcUwz55hno+xCUbjswx8OXvcr3/1u8LUfZQfoDHeimjZaARHn\njy1b6RpzgPi2bRzO/q1r0Sjj+/ez4eUvD57/Xxf/L1pufYgT3/wGk7/+hkCYp0ZHC0bzm5lQPE5s\n/XrOLFGYa5EIoXicsX37sNNpMpM5Fzw5PEykZ+5c9Jb164mZWWEu68wlRZhITdAebkcRCl2RLoYT\nwyTNJJFszLpSpjPTc2rHL+q7KKhbPz51nN/73u+xtXMrAPtHPGHe/Q/duLi4H1odPWqsbJ+Z1qxj\nvq51HVOHDtG2ZUuwjRoKoQuVdLpwnbxfNqWJxW9zu8KdaLbg2KSXOPJNAUXOMZdIJHVEKo4mINeV\nvfGFuWOXX+cVCPMaRM9Uv7GcdMyrgqLrqELFqdHkAMuxUF2BFomgxWIomoZrWYFj7kfZi5EvzHsi\nXsy9UJR913vew8u+8IW6jB+Lb98OeIJz03XXceCWW7DT6eB5IQTnbb4EgBN33TWnBn0tjksD6Drv\nPEYf8yK9S2mAF+nrY+hhrxFVZirXcGoxYR7p7aUVbxSTX+crkSzGeHKcjrC3yNcV6eKuQ3cR/fvo\nkj83+W55d7Sb/pZ+JlITGH9j8KbvvAkgGOP31PBT3HnwzlXXNNYMouzedXdd2zomDxwIkk0+utCC\nxm2LETjgBa7fmhGiI6lxbMLrKZJrPCtviyUSSf2QZ6AmIBDmzeCY+xfHMlatax1lB88xl8K8Omi6\ngU3t5pirriDc0+ON0tN17DzHXC1TmGfXY+g2vJvlQiJOi0bpv/zy6hx8hcS3bQMg3NPDzre+ldTo\nKId/+MO5G2VvLo/cccech9eiYw5enN1foFiKMI8NDgZ1/Qsc897eOdsKRaG3ZyMgo+yS4oynxumI\nZIV5NDeacSZTvKlZIU5Ne/XlO7p2sKFtA/FwnPHUOKZjcu+Rexf87C8/9mXAm+iwWvBrzH3HfDA2\nwNShQ7Rv3TpnOw21aHNF3zFXCzjmiq7TmdQ5nnXMg7SejLJLJJI6Is9ADY6L26Tj0iqIstek+ZsS\n/AwpzKuDpuleZLIGrrnlWKg2RLMiSdF1XMvC8R1zvfTIO0XT6E54271p42uApYm4WhPp68NoayPS\n00Pb5s30XXYZh7///Tnb+O974pln5jy+Fpu/AXSef37w9VI60/e98IXB136Xe9dxSA4NLXDMAXoG\nNqO4QkbZJUUZT40TD8exEgkSDzwaPJ4/y7sSfMf846/4OG8VV+McOhVEtfN54Trv83zL/lsA7/xZ\nq8aclWI7FooDMdO7Bp/4xOew0+mFwtxVyDiF/53896OpiwtzVdfpTGgcnzrubZ+995Bd2SUSST2R\nwrzB8R0+oCaCZ6XxV63LmR2+Yo65jLZVBVXzXGunBiUXpm2i2E4gkvwaczuTQWhaWb9DoSj85hO9\nHPrtvbym6xpgaSKu1ggh6Nm9m/azzgJg83XXceYXvyA5PBxs40f457MWm78BdO7cCYAaiZS1SDOf\nwauvDr7OTE7y/Ve9iudvuYXU6Oiiwrylr5+orckou6Qo48lxtKFpHv7IR0j8bE/weMZe/O+3FKdm\nTtFqtHL9jus594EJ7OeOMZwYXrDdJf2XMNAyQNJKsjm+GYC0XTgWvpJYtleWtGkizOBUCOuevQAL\nhblQsdzCjrm/uFGokazvmJ+c8RYzcsJ89aQHJBLJ2kMqjiZANJNj7pQ/skQ65o2FrnvCvBazzC3H\nQrFcwnnC3HUc7HQ6mGFeCqGqhG2FDr0Nc9br9rsaHXOAKz/5SXb9xV8AsOHaa1FUlSM/+lHwvFNA\nmK/VKLvR3u6NMVviQkv+WDzHskiNjnLo+98H1yWS7dqejxIK0WLrMsouKcpYYpTME89x8LbbSOm5\nBculCvORxAhxojz4wQ+SmZnBGE/Oed6PrPfEerh8vVeK47vnxeq1VxLTMVFc2DHVzj/euQPdyTX1\nzEdHJVNEmFslhLnQNDqTGidmTuG6buCwyxpziURST+QZqAlQRPPUmDv+xbSMOi/Vd8xrsMIdOOYI\nhBAltpaUg6Z7DbFq4pg7JsK0c1F2zftMmLOzZTV+y3+Na9uYM16N52oV5oquo2QXjIz2dgavuooj\neXXmtmnSlnXUAch+htdq8zeAzvPOW9bv87rbb+fSD34w+H74kUdACLovvHDBtqqu02JpMsouKcp4\ncpxYdrTepcfb6NC9UhOzSES7GBOpCdTTkxy87TbMmRm0sbldy1+6+aUA9ER7uGzdZQC8cNAT5v48\n73pj2xaKI9BbW3Eti5YNG7juO99ZcB3WULGKLPJalre4oRUQ2l6UXSdlpxhLjsmu7BKJZFUghXkT\nEIxLa4Ku7BU55isSZZeivFpovmNeg1rGTCa1wDEHsBKJshq/Qa5kwRfmiq6X/dp6s+m66xh94gmm\nj3odhp1MBi2SG7nkj3dbq445wPnvfCe7/vzPl/z6+NatdGRnovt0nntuMFs5H0XXiZoaPzrwI0YS\nI0v+mZLmZjI9SSyj0nXRRbSnNb513seBpTvmE6mJoDbbmp0lmqe1n/3DZ7nxJTcC8MyHPsavdl7J\nH73wj7ig7wJg9Qhzf8KGv4gW7e8PJlHkowutaJTdsnzHfPHElKLrQef34cRwXpRd3hZLJJL6Ic9A\nDY4rmqsruxPMMS9HmHsf35qMS/P33fjVAasGX5jXYgEpNTuN6kJ0EWFebk2xyHfMZ2dXrVu+GINX\nXQVCMPTQQ4AnzPPftx6LoYZCqKFQvQ6x7sS3b2f9Ndcsax/zFzb6Lrts0e0UXac7aXBs6hh/csef\nLOtnSpoTy7EYS43TmlHZ+Za3AKBk1yyXI8yjpnc9zExNEct41zFd0dnauZVzus9BQ6Vv1kB75CA3\nveomYrpX3rFaasz9KLuf7im0mKgLFbMsYb74/YGi60FMPmNngvnp5dx7SCQSSa2QwrwJUJpojnlu\n9mjpeHpta8zFnP9Llo8WCgNLqzEfSYwEo4AWI52cQcmOS4MlRtmz0XAn65g3kjDXYzHaNm9m7Kmn\nAK/5m2oYbLj22uD5teyWVwu/q33bWWex+frrOevVr150O9Uw+L0nN/HSzS/ludHnVvIQJQ3C0OwQ\nLi7xpIaW7X2gWd5K8LKEeTYa75hmINK7ol0IIRhsHeThy77F2WMRrIQXcw9p3mLdanHMbdtGcQVa\nNAoUFuaa0IpH2bNlcYW6siu6jup41/eMncFxZZRdIpHUHynMm4BclL3x7V27glVrv8a8FjNY/Vmm\nMspePfRlRNnfd+f7ePv3317w+bSZRnNy8cdqRNlXY0f2YnTs3Ml4Vpg7mQyKYfDif/onXv/ww2ix\n2JrtyF5NfBevZcMGXvTRjy7oFO2j6Dpa2ublW17O4YnDK3iEkkbBX2iMp7Sg7ERZojA/NH6IP73j\nTxlPjROzctdDv369M9IZPNYT8xYv/QaXYc1bMF0twtyPsvvCvNB5SxcaJoWvJbZVuiu7lvUyTNvE\nkePSJBLJKkDOhWhg/PFozSQd/XFp5TR/W4kouyLXrqqGboTAWVqUfSo9VXT0lGWbKK4IXG/fMbdm\nZ9dElB08YX7i7rtxbDtwzBVNQ9E09FgM114dc4obGUXT0FtaiA0MFN/OMHAyGTa1b2I4McxsZpaY\n0VgLPZLacnrmNOAJczUU8hxcyzs3VirM3/vf7+XWp24F4GJ3MHg8kq0374p0BY85pidYA8dc9Rzz\n1dKV3XLMshxzXdGwigjznGO++PlfDYXQ8hzzsO2d/6Uwl0gk9UQK8ybA71baFHPMs+JB08qfY17O\nzPNKkc3fqo+mhyC9tCi77dpFb1Ytx0J1coLcF+NmBTXmQZTdsryOxg3mmHfu3ImVTDJz9Ch2JhPc\n2AIMvPjFgUMmWR4bX/lKBq+8sug2iq7jWBab2r0xa0cnj7KzZ+dKHJ5klXPtl69lR9cOdg3sQiBo\nS2nelAXDQF2iYx4P5xoQtri5PhIRPYLhanRFFwrz1euY217zt1LCvIRjbvpd2QtE2dVQaE6U3c5e\n62WNuUQiqSdSmDcw/txy0UQ15r6bWl6U3XMDahllV5sqj1BfNE2H9NIcc8uxit6smtn4o5gnzK1E\ngkh3d1k/w59X7zoO1uws4a6uEq9YXXTs9ITf2FNPBVF2nx1velO9DqvpuOzDHy65jf/529iyDoDD\nE4elMJcA8JNDP+Enh37Ch1/6YTqNOJorPLdc1wNhbtqVjUvLj6q3Eg6+DnV00OKG6Ip04VgW//Pu\nd9O+bRvgpYkAdNe71q2W5m+2a6EiULPx/kIjHjWhYVH4WuI3c1PLcMxNx8TJOuayxlwikdQTKcyb\ngGYal+ZUUGOu1HSOuR9ll8K8Wvg3PEupMS8tzE1UR+Qccz/KnkiU3fwtEOZ+FDwcLvGK1UUoHifa\n38/4U08FUXZJffD/7ftDPWiKJuvMJYDX8M3n1Mwp+gxv8U81DBTDQMksLcreFsq5yi1EAM/9Dnd1\nsdGOs7N7J5mpKY7fdRfmzAzgpYkAHn7fB2BgdTnmiiuCuvtCjrmh6EWj7HZ2FnyhhXs1HJ4TZbcd\nGWWXSCT1RxbQNjB+dF1ponFpQVf2chxzsQI15jLKXjX8SOFSouylhLntO+Z+jbkfZZ+dLb/5W16U\n3Z43bqxR6Ni5k/Gnn8aRwryu+J8dYTtsaNsghbkEgMdOPwZATI9xeuY0vYbndPtRdmFaKEKpWJjn\nb+93YgfPMf/k6PX88UX/OxDkmelp7/+TkwCM3fdzYGWF+f7h/dx39L5Fn7MdCxUliLIXbP6maFii\nHMe88Lg01c2NS7Oz909Kge0lEolkJZDCvIFpyih7IMzLGJfmN38rY7RapQRd2eWfSNVQsl3Pl5Ls\nsJ3iNeZmtsZczGv+Zs7MlO1850fZHdMs22lfTXSeey7jTz3VsMffLPj/9nYmQ0+sh7HkWJ2PSLIa\neOyMJ8y7o92cmjlFt+bVhiu6jmoYOKaJrugVC/N8UR1JZgWmpqG3tmJnMvz4t36LZ//jPwACgZ4e\nHyczOemdN92Vbf52w3/ewEu+9BJu3X/rguf8ruxBlD07onA+umoUj7JbxR1zIQQh3bs2ZOwMTtB4\nVgpziURSP6TqaAL85m/NMC7NF+blrForssa8ofAXW2oRZbdcCxU1+FsI3G7XDSKRpfA/c65leY5z\nIzrm55xDenycmePHpWNeR/zPjmOaRPUoCStR5yOSrAaeGHoCgJnMjOeYZ4W5P0EhMzmJ5ioV13vn\nC/NwwhOreksLqq7jZDIkhoaYOnIEgMzUFOAJ8zMPPYRAoNliRR1zv1ndV5/46oLnbNdGRclF2Qs6\n5npRxzyY8FKkOayRneFu2mbQeFZG2SUSST2RwryByY1Lax7xaDl+jXlpse2L5lo45n6UXZV/IlXD\nF+a1aP5mORZa3u8qP4auhkKLvWQBQZQ9W2PeiI5zpLcX8ARhI0bxmwX/s+NkMkT1KEkzWecjkqwG\nxpPjAEymJxmaHaJD8USnH2U/8dOfIpIZEtOFR0MuRv7nKxDmra0ohoGdyeCk06THvNSG75hbySTT\nhw972zqCZGblFo/8a8BiTe4s10ZBoWX9evS2NkLx+IJtAHRVxxWFF3oDx7zI/YERjqAgPMfclVF2\niURSf6TqaAJyUfbmccxVpYw55kGNeQ2EuYyyVx3fiajJuLSsy+IzR5iXGWVX8iD9yTUAACAASURB\nVOaYN2qNdn49ZiMef7OgzHfMTemYS3LOtuVYJMwEnbQAuSh7enISzRFkzAodc9vbryIU9FlPkOqx\nGIquY6fTOJZFetxbFHDt3Pl39uRJb1tbkFpBYW5mG7P5/8/HdmxUBH2XXcZv3HNPwYVVQ/HOb4Wu\nC+U45moohIbq1Zj7jWdllF0ikdQRqToaGL/GXBHNU2Pur35rWmlREYxLq0WNuT/HvInSCPWmllF2\n0y3smJcbZRfZxSDXtrEbtEbbaGkJvm7E428W/M+fnXXMpTCXgCfMO8IdwfcdIorQNISieJ8Z10Vz\nBGmzslh5ykqxo2sHn3nlP6O4Xl12y/r1qIaBmW32lsoK83ySIyMA6I6yoo6575T7Cbl8/EVWIUTR\nxUU9ez1ZTNxDzjHXSwhzHRXTMXNCXkbZJRJJHam5MBdC/IEQ4pAQIimEeFAIcWmJ7V8qhNgjhEgJ\nIZ4VQrxlkW1+UwjxVHafjwkhXlW7d7B6mR9lbwZh7mQ7o1bWlb0Gwjz782WNefXwu+MuNcpuOVbB\n19quPadpj+9+Q/mOef64NKdBu7JLx3x1MKfGXJPCXOKRslL0xnqD7+NuNDjP+AtpSxHmSTPJju4d\n/N55vwvAC97/fl78j/+IYhhBdN1O5pVTZBfzA2FuC1KZlSu38BdZF4uye3PMS9+aGmpxx9zKCnZd\nK+GYu0q2+Vv23qMGC/0SiURSLjUV5kKI3wL+CfgQsAt4DPixEKK7wPabgR8APwEuAj4FfF4I8Yq8\nbV4EfA34HHAxcDvwXSHEuTV7I6sc0VTj0iqZY+475tUXUMG4NBkqqRqBY76UKHvWZV/sRg48l0Un\n95kR+cK83BpzRUEoCo5t45hmQwpbv4kUSMe8ngRRdumYS/JIWSn6WvqC7+N2JPis+Ocb1RFkKmzE\nlrJShLUwdtqLwGvRaBCPN2dnF2zv122nRkeBla8xLx5ld8oT5nmN2xbDssqIshsGGkp2XJqMsksk\nkvpTa9XxbuDfXNf9suu6TwP/G0gAbyuw/buAg67r/oXrus+4rvsZ4Jbsfnz+GPiR67qfyG7zV8Aj\nwB/W7m2sTuZH2ZfiRK42KmnA4jvmWg2atQRuvJDCvFr4TsRSHXMo4o7MrzFX1cABLzfKDp44d0wT\n17YbVtj6CYFGPf5mIBiXJmvMJXmkrBR9sZwwb3dCQbrCF+iaI8hUOLosZaWIaBHsjHd+9Bcj/Xj8\nfEIdXpw+NTKCUFXPMV/BBoW+mF60+Rt2mcLc+xsrFGX3hXaxhXs1HEZzFUzbzPW3kc3fJBJJHamZ\n6hBC6MBuPPcbANfLXt8JXFHgZZdnn8/nx/O2v6KMbdYUzdn8rYw55tmV7WIr4kvFj0VLx7x6+OUJ\nlr2wrrAUpYW5hSbmfmZ857jcKDt4TruV8ERUI45Lg5wobNTjbwZk8zfJYuQL8/ZQO5rFIlF2SFfY\n/C1pJT3HfJ4wL5T6CWVng9upFEZbG5qjrOi4tKKOuWuXtSCul4yy+8K88L2EYhhoTtYxd/0yOhll\nl0gk9aOWqqMbUIEz8x4/A/QXeE1/ge3bhBChEtsU2mfT0ozj0uxg1bqccWkrMcdcCvNq4TsXVpEm\nboXw4++FhbmDNi+CGDhQlQhzVcVOZTscN6jj7N+MN+rxNwPqvHFpUphLwBPmPbEeAHpiPXN6Wah5\njrlZ4TnSj7I72Si7UuIcoLe1Bc0ujfb2FXfMi9eYlxtlNwruAwi6rBdbuNfCYVQ3Oy4t261eKWMi\njEQikdQKuTTYiCQS8PTTYCXZdRK2ZtLsMiD0xFMw3dg34/Hnj7PrJIT3PQ2npotuu/10mjMqdBw8\nAR2PVPU4tpxOsEvAjoQJj1R332uV+JGT7DoJkceegrGW0i/I45wjCdpn8H4XrQMLnj/vpMnZY5k5\nv6vOVIpMMknoyJGyf4cdqRT6gQN0JJOEDx9uyN99ZypFKJkkdOgQZJ0xycqipFJ0JJNoTz3F+p4R\ndhyZxd2zByGaZxFVUjk7jsxyVs8ELxoKs82OYEwcJp5IwCOP0DIyQkcyyQVnXNYfHK3o3HPWwQnO\nFpMwuZeOZBLjwAGwLCLHj9ORXCi428bHMV0XK5mk3ba58IxDx8HhFTvfbT88Q2QKNsxOL/iZW08m\niKZFyWPpPTHKrtOg7n0Muhe+x/hzR717iWeeg+TiacLW8XEumrDpe/YkrWqIXSch+sxBEIvPTpdI\nJA3IOedANFrvoygbUav4czbKngBe67ru9/Ievxlod133NYu85h5gj+u6f5b32P8CPum6bkf2+yPA\nP7mue1PeNn8NvNp13V0FjuUSYM9VV11F+7wb1Te84Q284Q1vWOrbrA+PPAK7d9f7KCQSiUQikUgk\nEolkdbJnD1xyyYr9uK9//et8/etfn/PY5OQk9957L8Bu13WLrjrWTJgDCCEeBH7uuu6fZL8XwFHg\nJtd1P77I9h8FXuW67kV5j30NiLuue132+28AEdd1X523zX3AY67r3lDgOC4B9uzZs4dLVvCXUzOy\njnkik+AlX7qSazJbuds4wH/80ufYuaWx398t//lp/v74l/jJ79xBR2tP0W3//F/fxF3iKb74ok9w\n8QVXV/U4/vbf3slt7OFFyQ18+k+/W9V9r1Ueuet23v7ch/nsL32Ky7e8pKLXXvvlaxlLjvPt3/wW\nZ3eeveD5K/7tMn515Cz+8i9zJ8OfvutdJIeHedE//APtZ51V1s+56+1vp+uiizh5zz288P/+X7rO\nO6+i41wN3P9//g+Tzz/P5R/5CB3bttX7cNYsd7z+9Zz79rdzYJvGn//Xe7n7LXfRHpYJhrWK4zq8\n4P9dyoeu/iu++vhXuaj/Il69r4vpI0d40Uc/yjP/8R8c/M53+OrFp2ndsoV/feNXyt73S29+KW+9\n+K1cJy7m4b/5G176L/9CpKeHU/ffz6Of+MSC7dddcw0Tzz7L7IkTDF55JZ8avw17+yD//jtfX2Tv\n1eeVX3klw4kRemM93PGmO+Y891uf/WW6zTCf+ZPi1937f/Q1/vDoP/GF6z/HrsGF9z3fuPOz/MPz\nX+DuV3+P9v51i+5j/xe/yAenvsz5F13NC43tfPDJT3D7y29mw9YLlv7mJBLJ6mIVOOaPPPIIuz1D\ntaQwr3WU/RPAzUKIPcAv8LqrR4GbAYQQHwEGXdf1Z5X/K/AHQoiPAV8EXg68Drgub5+fAn4qhPgz\n4D+BN+A1mXtHjd/L6iEahUsuwUlNs3cQtqRj7A1B4txtsLOxhfmZJ3vZ64C76xJoKy7Mjwy2sFdA\naueOqq+GHV/Xzl4XBmeiK7rS1swkjz3B3lkY374JLqjs3/TROxVGkzB13lYYWBiM2TPgslttm/O7\nmursZGZmxnusTGE+GY+jt7czHongXnghXHRR6RetMmb7+xk/eRIuvBB27qz34axZJtvaSK5fT+ai\nbvY+CdPnb6O9bX29D0tSJ9Jmkr2DMHvBDm644vMMtg4y9k83M5tKwSWXkH7gAcYjEZ7r1AgPGhVd\nd37+I5PfOO9s0onNjEciiBe8ALq6sCcmGF9kKkXXxo0kpqcZHxujZ8cODj2jMTmorti1bs+dLkkr\nyglDLPiZ+wZUNqVLX3dTB37BXgvGz9kMWxdue+q5HvYmQVy8CwYX/7vL/PSnPHtcI7yljS2hQfaO\ngXn+eXCuvOZLJJL6UFNh7rrut7Izyz8M9AGPAq90XXc4u0k/sCFv+8NCiF8BPok3Fu048Huu696Z\nt80DQojfAf4u+99zeDH2/bV8L6sRf1ya3/zNcZqpK3sF49K0GnRlVzSw5UzTauL/nvwGf5VQsis7\n9oLmb+oSmr8pqoqVrcls1OZpwaikBj3+ZkExjKArOyAbwK1x/K7nITXENVuuAeA+01wwRUFzBJkC\nI8AWw3XdXPO3xcalLYJqGGhZB8lv/pZ2KusEvxxMxySmxxYfl+Y6ZV13Dd07r2cyi3eTD7qya4XP\ng0oohGZ71xU3e11Symg8K5FIJLWi5mcg13U/C3y2wHNvXeSxe/Ec8GL7vBW4tSoH2MA4Tnbmd1ag\nuk01x7yMruxCBbf4OJSl4o9Jk3PMq4eSXWyxC3TRLUYxYe64Dq5Y2J1fLGVcWp4wb9RxY8GNvhTm\ndUXRdexsV3aQwnyt4wvzsJY7H9mmuci4NMFsBcLcPydGtAj2vK7shc4BSp4wD7W3ozuC1BKmZSwV\n0zbpCHcwmhxd8JyNg1bGwnxI9xYf0pnFu8nbjoVwvcXWQmihEIrlkrEzWL4pIK/5EomkjsgzUBPQ\nTH1+nUrGpdVyjnn2xkCVjnnVyI1Lq3yOebFxab7ros8T5mt2XFrWLRNFbkgltUeVjrkkj8WEuWOa\nwQKgkj8urQJhnrSSwX7tdBqEWCD256MaBrrvmLe1odsKGWcFhbnj/V0s5pg7OKiU4Zhr3nkuYy7u\nmNu2heIWPw8qoRCq7QnzSu49JBKJpFZIYd7A+A65P4KnGRxzu4Iou+/A6rUQ5r7ol6vnVcMX5s4S\nhHkxxzyILM77HPg3vJU45nOi7A3qmHfs2AE07vE3C4quB3PMQQrztU4hYV4oyv7z4z/nkw98sqL9\n2pkMaigU3BPMd8zzBbsWiwGgt7aiO4L0Cglz13WxHIuYEQvO3flYOGVd/0Mhr3Y+XUCYW66N4opg\nXvtiaKEQquli2iaO6wtzed6USCT1Qy4NNjKuX2PuR9kbv8bcd0aVMgRxTWvMs/su5zgk5eGXJyzF\nMS8mzH13SRcLo+yKYRS9MZuPUFXM6WmgcaPg577jHQxeeSWRnuLNEyW1RdF1bOmYS7IsKswzmUWj\n7KZrcfXNV5O207z7incX3ecH7voAABE9gp0ennPemu+YG+3tpEZG5tSY69EoBjppZ7YK77I0/vk6\nokWwXRvXdYOFBMhG2SupMTcXr423HdtzzIuc/5VQCNURpK10UBqoVnC9kEgkkmojz0ANjC/EA8fc\naXzHvLLmbzLK3kj4vQCcRVySYjh5SZCijvkiUfZKYuzQHFF2RVXpbMAxb82Gousyyi4JKLfGXHU9\nYW6o3veTqcmC+7ztqdv4wt4vBPu1U6k55y3/az/OHYrHg8f9KLsaiWAIjYxb+YLpUvDj6/7fxfzY\nvlOmMA9lhXkhx9yrMS/umKuhkJdQMFO5tJ6MskskkjoihXkDEzRK8x1zGt8x99+TKKNy3hfPtXTM\npTCvHv4Nj1mhY54fdyxeYz73c6DoOuoio4KKMaf5W4MKc8nqwI+yRzTvMyiF+dqmVI25mueYZ1yL\neNgT0UcnjxbcZ35KLqyFMWdmMFpbg8f8fRvt7XP+r+p6EGXXolFCaKRdc0VSd74QD4T5vDpzGyco\nUyuGnu22blolHPMiNeaBMLczufspRQpziURSP6QwbwKUrGPuNEGNueM6CJc50bZC+KJ5fm1xNVCz\nF2dZY149/GRDpV3ZSwnzXI35Qsfcb4RWLoqm5RxzWaMtWQZ+8zdVUTFUg7HkWFOUG0mWRskoe37z\nN9eiPeyJ6GLC/MzsmeDriBYhMzWF3tYWPOY75r5THsoK83zHXI9GMRQDF3fRmu9q45/DY4a3MDDf\nMbdx0cpo/qboOprtxdAXw3JMVKdMx9xKY2ffezlpPYlEIqkVUnU0MAui7E1w0+c4NqLMt1FLx1yR\njnnVUbPjyyqdY56/fdEac3Vho6OKo+zZmzhF0yqqTZdI5uPXmIP3uX3vf7+Xzz/y+ToflaRepG1P\nQC5o/jbfMXcVLNcOHOViwvz0zOng65AWIjM1hZEnzIN9RiJsvv56+i6/HJg7Lk2NRAhl00b+4kEt\nCaLs2uKOuVPmuDRF17Mx9OU55qoLGSuT1/xNOuYSiaR+yDvPhsZv/ibyvmtsHNcpK8YOeY55LaLs\n2RsD2fytemiBY17dKHuxGvOlRNn910oky0HJOub57BveV6ejkdSbUl3ZQ/E4CEEk2oqFzUxmBigu\nzE/NnAq+bgu1LRDmQd16KMSLPvpRei+5xPveMOi99FK2v+lNhNrbCSnGnGOsJfOj7PNdelu4aErp\n86+iaWiOKHjMnjAv0ZU9GvUSCnYG20/ryTGTEomkjkjV0cAEjjnNNC7NQanQMde1yuLKlex7vtiT\nLB09u4BSqWNedo35vJKGc978Zi764z+u6GcpWVe/URu/SVYP1uwsx++8k8c+9SlufvXNgEzgrGV8\nARnKu17ZeVH2jp07+bU77qAl3oWJHTR9OzpV3DF/3bmvY+wvxuiN9ZKZnFzUMfdLepTs/9VQiNjA\nAC+48UaEomBkhbnv6teSUs3fbJyySsh8YZ4pVGPu2iglFvl9Ye7NMS+/jE4ikUhqhRTmDUzQrCR7\nEWuKruyuXb5jnhXNtXHM/RpzeSNdLfx/00odc3+EHpSqMZ8rpjvPPZf+bHSzXHx3RTZ+kyyX/iuu\nAODof/0Xb7n4LVw6eCnTmek6H5WkXqSsFJqizVnszW/+BtCyfj26omMKm8m0J8yPTBwpuM/TM6cZ\naBmgI9IBsMAxF4oSjI0EiPb1Ed++ndZNm+bsJ7yCjrl/Di/U/M0Rbll9YxRNQ7cLO+aWY6G4xe8l\n9GgUNTs33i+jkyVMEomknkg7sJFpxhpztwLHPIiyV19EBTXmshFM1VA0DeESNNkpl5KOedZxMarQ\nBFBIx1xSJS644QYUTWP/l76E67q0hdqYSk/V+7AkdSJlpQipc9Nd+c3ffMKqF3WfyczQarQymhwt\nuM/TM6fpb+kPvp8vzGFuE0w9FuO673xnwX7846pHlH2BYy7csmrMRSnH3HFKO+aRiBdldyzv3oPi\n0XeJRCKpNfIM1MD4Qlxpqih76fiZj6qoCDcXP64msit79RGKkhXm1Y2yjyXHAGjXWpZ3gHgzwEE6\n5pLq0LppE+bUFOmJCSnM1zgpKzWnvjwzNYWVTBLu6ZmzXb+IB1+vb1vPdHrxlIVpm4wkRgJh7pgm\nViKxQJirZUyn8OP1hTqcV5MFUfYF49LcspJqfpS9UPzeci00p/i9hBoIcxPbbzwro+wSiaSOSNXR\nyASOeXPNMRcl4mc+O8IbOe9MrCYr3L5Trsoa86ohVBXFFVV3zM/MeCODurX4gucqJejKLpu/SapA\n6+bNAEwfOSKF+RpnvjCfOXEC8OLr+QxoncHX69vWFyx/GJodAqC/pZ/J55/npzfcALDQMTeMksI8\nvEKO+YGxA3x7/7eBwo55uVH2wDEvMH4z42TQ3OL3BoqqeqUDroXjlm4WJ5FIJLVGnoEaGF+IK6J5\nHHOvK3t5vLDlPN7/P1tq0qzFj9LJGvPqIRQFxQXbru64tNMzp4laGhEjuvxj9KPsUphLqkDrxo0A\nTB8+TKvRKoX5GsYX5pnJSczZWWaOHQOgZcOGOdv1zRPmM5mZRcvUfGHeG+vl9IMPcvr++4GFwlwt\nQ5iHsgsGx6eOB/u94T9v4I4Dd1TyFkvyxb1f5OP3fxzIzTH3F14/dPeHeHb0WVwBmii9IB40fyvg\nmGccC72EYw5g6CEsbDKO5Y1Xk8JcIpHUEWkHNjBOttlbzjFvfPw6r3IYvPpqdteorl7NjmuRNebV\nQ6hqTWrMT8+cJp7WqzLmRsgou6SKaJEI0f5+zzE/XzrmaxlfmN/9+79P25YttG/bhhaLeWPS8ggZ\nkeBivq51HY7rkDATgZD1GUmMANAT7WFi5L7g8fnCPNLbS2ReXH4+vpP/zh+8k1ec9Qpuef0tfOXx\nr9AeaueXt/7ykt7vYuR//o9926t1N22TtJXmw/d+OGhiV84s8ZwwX3hNAMi4Jppb+prgx/gnrCki\npiKj7BKJpK5IYd4EBOPSnMaX5pVE2WMDA2x/wxtqchyy+Vv18RzzpUfZVaEuLsxnT9Oe1oL68GUd\noz/HXApzSZVo3bSJqcOHadvdL7uyr2FSVgrNhtEnniAzPY0aidCyfv2CxJei65A9za1v82Lu05np\nBcJ8ODEMQHe0m1NDQ8Hj84X5yz7/+ZIJIF+YT6WnGJodImWlmMnMBLPUq0W+MB+562dwjRdl9/8u\n/BFx5Ywp9buypwsIc9Mx0UtE2QEM3Xvv4+YUEUuVjrlEIqkr8gzUwARR9iZq/uY55vXHX7Evpzus\npDyEqiLIJT3KxR+XFtEjZJzFa8zjKS2IoS8Ha8a7EY0NDCx7XxIJeHXm+TXmzTA9Q1I5s+Ys6mQS\n8HoOTDzzzIIYOzBnfJovzBdLWowkRghrYaJ6lOTwcPC40d4+ZzstEinZIDVsRIKvZzIzjCa8TvAz\nZnWFef7ClGF5V3rTNoMGd/77LEeYBzXmi1wTANJuecI8lBXmY1nHXApziURST+QZqJHJ3t/5UXan\nCW747ArmmNeSXI25DJVUC98xt5bomEf16KJdg0/PnKY9pVWlO/9Zr3kN29/0Jna///3L3pdEAl6d\n+fTRo7QaLViOtSIjqSSrj+n0NPqM6Ylx12Xk0UcXNH4DzzGPWt71x++4nt+Z3XZsrr75ar779Hfp\nifYghJgjzLVo5b02fHEKnjD33fhaOuYhOyvMHTN43J/dXlbzNyHQXLVg8zfTsUo2fwOIZJvQDVvj\nMsoukUjqjhTmDcz85m80i2NeZpS9lvjd2MtZuZeUh9eVHZwljkvb0LaBI5NHFjx/euY0bUm1KsJ8\n/ctexgtuvBE9Fiu9sURSBm2bN2Mnk4ST3vla1pmvTabSU4RSDn2XXRY8tulVr1qwnaLrvOXA2XRH\nugmlvc9MvtN8aOIQ9x65l7sP3013tBuA5NAQ57zlLVz9L/+ypGaohhFBzV53ZzIzQf16tYV5/gJD\nyPJ+nmnnhHngmJdRYw6go85xzJ8dfZZf/8avY9omJhY6pRNvcd2L/p/MDHtRdinMJRJJHZHCvIFx\ng3FpTRRld8pv/lZLcuPSZJS9Wiy1xtzvyv6SjS/hkVOPkDSTwXOmbTKaHKU9IarS/E0iqTb+yDRl\nzBM5UpivTaYz0xizFrHBQSJ9fXRffDFd55+/YDvVMHjZkS5uH30b977ujd5r8wTtvqF9wdddRgf3\n33gj6YkJ2rdtY91VVy3p2FTDQHeU4DhrJszzo+zFHHOlvKkYhtDm1Jg/ePxBbn/mdoZmh8iUWWPe\nEfKa743Yk0FSQSKRSOqFFOYNjJut1VWyI70aP8juj0tbBcI8u2Iv55hXD78ru1PhApLvmF+16Sos\nx+Lhkw8Hz/mjfaoVZZdIqk3LunUAHP7clwEpzNcq06kpjFmTSE8P1//wh1z77/++6HaKruOYJkMP\nP0zYzIllnyeHngy+js06HP7e9wBKdl4vhhaNotvedXc2MxucV2sZZfd/nuVYC5u/leuYC23OHPSJ\n1ETwf9O10Mvob9wV7gi+jkhhLpFI6owU5g2MH2X3hWwz1Jg7jr1KHHNfmMsLdbXw55gvucb8p0/T\narRy37HcaKDRpNekqDWtVqX5m0RSbRRdp/+KK+Ck91mVndnXJlOpKcKmSqSnBy0cLriQqBgGTiZD\nbN06QrZAQcx1zIdzjnlkMidKI93dSz42PRZDywplF5djk96M9VpG2cMhr7Z7sSi7XuaCuCF0Mm7u\n38AX9uOpcTKuiVFGj5h4pBORvXWKWvIaIpFI6osU5o3MvCh7M3jmtrs6hHnQ/K3MlXtJabwacxFE\n08vF78r+3Bdu5vze83lq5KngufHkOABRU5VRdsmq5WWf/zy9A5sB6ZivVaYyU0QshXAJAa3oOo5l\nkRodRSCI2NqcxZx9w/toNVoBCA/P0rJxI+1bt9K6ceOSj02PxdDzTsuHJw8D1RXmjuvMeR/R9k5g\nbpR9LDkGgJGdLV4KQ9XJ5C30+lH4wDEvIxIfisaIZQV51JbXe4lEUl+kMG9g5jd/cyscQ7UacWw7\n6DJfT9RsV1hNSLFXLXzHvNJxacEcc1fQGekMXBHIRRdjmeo0f5NIakVHqyfI8j+/krWB4zrMWgnC\nllLS2fafnz5yBKGqhC01EK4ZO8PTI0/zqm1e0zjt2BhbX/c6fuX225fUjd1Hi8XQ7dx199D4IaC6\nwnw2Mzvn+2iH51Tnj0sLSpOM9gWvX4yCjnlyHNO1MBSj5D60aJQWMyvMZZRdIpHUmforIMmSCZq/\n0UTj0hxrVTjmSnZxQDrm1cObYy4CB7xcAmHuQDwcD8Q45AlzUwpzyeqmJd6F7irSMV+D+KI0ammE\nOjuLbhvfvt37wnWJb99O2MxF2fcN7SNjZ/jt834bgaBtyqXz3HOXfXxaNIru5K67hyYOBcddaU+Q\nQswv4Qh1dKA6goyVZjJ7HvfNhs5QmcJcNTDJXU8m0rka8wwWRhmReC0aJZb2rvcR6ZhLJJI6I4V5\nA+MLc0VRst83vmNuO3YgiuuJpnmOuWz+Vj1yjvnShLniCtr11jnCfDw1TlSLojlC1phLVjXhjk5i\ntj7n8ytZG/iLMa2RdpQSJTfRgQH0Vi+qHt++nXAaprJO8J5Te1CEwi+d/UvcccWX2HWqhdjg4LKP\nz4uy54T5WHKMloyKiztnCsZymL8gFersRHUgnUkyMTM257l4uY65amC6eVH27N/WeGoc07Ux1NKR\neC0apSXl3XO0GS1l/VyJRCKpFfVXQJIlE0TZ8YV54zvmlmOhlTF7tNaoQtaYVxshBMKt3DH3a9IV\nF1pEZIFj3m54c2hL3fBKJPUkFI8TNVUpzNcgvlscjxV3y8E7T8a3bfO2376diKkwmfB6aew5uYdz\nus8hZsTYmmhHcQWRvr5lH5+e15XdZ2DKi4FXK86e3/gNvL8H1RVkMikmZ3PCXLcFES1S1j5D8xzz\n4eETAIxODWEKG6OMGnMtEqEl41072vM6tEskEkk9kMK8gVkwx7wJmr9lXAt9FdR1a36NuXTMq4pC\n5c3f8mvMW+Y5juPJceK+MJeOuWQVE+roIJIWUpivQXxR2hYrT/gFwnzbNsKWwuSsJ8wfOf0Iu/sv\n4X/+/M85cffdhOJxtHB42cenxWJozlxhPjjluc3VEubzHfNwZ6cXZU8nrPuHbAAAIABJREFUmUzm\n/iZiGRVFL2+OeUgNYYrc9WQyG2UfmzyDiU2ojCZyeksLLemsMI9KYS6RSOqLvJNtYHwZHgjzJoiy\nm66JXsaIk1qzqWU9L3s+zs6Lz673oTQVqiuwlzjHXHEFMdNrhOS4DopQmEhP0K63AkkZZZesakLx\nOJEUTGQnCUjWDoFjXqbwW3fNNSTOnCHS20tHUuP49AlSVopHTz/KawdeydEf3ertb8eOqhyfHoth\n2AqtKZXpsCd011VZmC9aY+4K0pkUU6lJhAOukhXmZaafDC2EJRxc1+XY1DGmLK+Wf3R2BFM4GGrp\n5m+Rri5iWcfcb9AokUgk9UI65o1M4Jg3z6/RdC0MUd5qeS0Ja2F+b89g4MZKqoNAYFc4x9yPvisO\nRDIKLm7gvownx4MouxyXJlnNhDo6iJkq4zMj9T4UyQrjn6/aW0pH2QEGr7ySqz/zGULxOP0zBgdn\njvDwyYfJ2Bm2j+S6r0f7+6tyfL5j7ke6AdbVKMo+OOntN3DMzRTTmWna097CaktGKftcHtK9tMAD\nxx9g0/+3iVHH+3ceTYziCLcsxzzc3U1r9n3H23oqe1MSiURSZZpH0a1B/PFofrO0ZujK7kXZ6+98\n+jcGQpF/ItVEQVTc5ddyLITrvTaS8j7jfhx4IjVBu+Y17JFRdslqJtTRQcRUGE+Mld64TD79i0/z\nws+9kNHEKKOJ0artV1JdfFHa3tJV0euM9nYGp0KkXZNvPvlNonqUrqdzn59oFerLAdRQiLCtEjVz\n17uB6eo65pPpSVRH8Hd3nsX/+84OL4bvQCaTYtqaJZ7yzt+xjIoWKbfG3DvG4dnh3GOmYCTl/S2E\ntNIx/1BHBzuHY7z4cDsd7VKYSySS+iJVR0Mzb455M0TZsVeFY+4LcunCVhcFsaSu7IrrfcbDs95r\nJ/K677apWWEuf1eSVUwoHieWqW7ztxt/ciMPnXyI7o93c+1Xrq3afiXVZTozjeoIWlorq2FWDYP1\nppcIuvmxm7l08FLG9z5OuMsT+JHe3qocnxCCXz+2kbfsHQge893zagnz/cP76Z3RMWyFmKl6Xdld\nQcZKMWMnaM8T5qGO8v6dwoYn4GfN3Iz0noTBiOn9jRllOOaKprFVHeCGX6wjFI9X+rYkEomkqkhh\n3sAE49L8X2MTOOYWdlmzR2tNIMylY15VlCXMMbcdGyX70Q5Nm8BcxzyS8BakYuvXV+9AJZIqE+ro\nIGoqTJnTpTcuA9d153SvfvT0oxU3VpSsDFPpKSKWgtFWeWnUgOG5uDOZGa7pfzEzx45x1m/8BlC9\nKDvAJro4eyz3eQrZSvBzq8HPjz7A1uz+haqit7SgOIJMJs2smyKe9KPsKuESs96DY8xG2ceSuRRB\n96zOlJsAIKyX1xjPX+iQwlwikdQbqToaGL8Lu9/8rdKI8Gokg4VexoiTWiMd89rgCfPKPqemY6Jm\nOwYbkxkgzzFPjqOPJYgNDmJkZ/9KJKsRvbWVmKUzac1UZbTlyemTDCeG+dbrvsUdb7wDgCeHnlz2\nfiXVZzIxTthcmjCPxnPu8WucSwDY+pu/ydbXv57+yy+v2jFq0eic7w3VQLNFMEN9OSTNJI8PP8nZ\no54w1yIR7z9XMJWZxsENouwtto4Wi5W137DhHfN4XkPFzmTu/iGklxeJ94W50V7e/HSJRCKpFVKY\nNzK+Yy6aaI45DiGldCfVWiMd89qgoFQuzM00iuuNtUk8sg/whLlpm8yas6inJ4lv316Lw5VIqoYQ\ngjajFdO1SFmpil9/cvokW2/aylce+wrXf/167j92PwCXr7+cKzddiaZowWOS5TObmeXN33kzZ2bO\nLHtfkzNjnjBfwuKh0d7OO9Iv4SMv/wjWk88THRigZd06XvihDxEbGCi9gzLRs2L4r+/czMfuOIv4\n9u20ZFRGJk8ve9+Pnn4Uy7XYOhYh1NGBFomghkLotmA47dWD+8I8rrUFZkMpQtko+2gi11BxcCp3\n/yAdc4lE0mhI1dHAuPO6sjeDMM8IWzrmTUypGvPh2WFeevNL5zSysswMiivY8mu/hnnyDFE1zERq\nInDNxfGRqo0NkkhqSTzkOXJLqTN/+OTDPD/+PL/73d/lB8/+gPf+93vpjfWyvm09UT3KFeuv4E9/\n/Kf8+6P/Xu3DXpN848lv8NXHv8o3931z2fuaTIwTsRT0JQjzUEcHrz95Nu97yfsY3ruXnosvXvbx\nLIYWiyFUlW1jUdZPhek87zxa0ypDU8sX5s+MPgPA+skQrZs2oUYiKJpGzNI4lfEat3Vko+xxo3zX\n2q8xP3XsOSIZhS/dcg4bJnN15b5wL0Wk2xuTJoW5RCKpN1KYNzDu/OZvNL4wt8qcPVprZFf22qAg\ncCjsmH/vme9xz5F7+Pb+bwePZcwUqgP9V1xBpLeXmGMwmZoMxI0+Oisdc0lD0BH1amcn05XHg0fy\nXMHN8c0cmTzCn657I4/fdBOu63LL629hQ9sGHjz+YNWOdy3zwPEHAEiYiWXvazI5QWSJjnnb5s1M\nHTxIZnqasX376L300mUfz2LosdicZnJd55/vCfPp5ScGZjOz6EJDdxS6L7qI2OAgADHH4ITpfa43\nhPp45y8GuUrdWfZ+w6FslN2cJGQrGI5CV1uuU33IqMwxl1F2iURSb+rfZUuyZHyD3BePjeqYu45D\nemKCcGcnlrAJrQJhjnTMa4KCUrRBVX+L18zo6OTR4DEz65ir4TDtW7cSsx5nIjXBeMqrK4xlVFo3\nbKjtgUskVaAj5gmApTjmJ6dP0h3t5oe/80PaQm18a9+32PnR+9h39Mcc+dGPGLzqKtYPrmcqM1Xt\nw15zuK7LHQe8uv3nx55f9v6mU1OEl+iYt2/bRmp0lKM//jGubTPw4hcv+3gWQ29pIdzZSeLUKQA6\nzz2X1h9qcxaElkrCTBARBkJVufjP/iwY9drqGCTdtPfzuga5+qEk8Z3ld5oPh734/VhynJDlXbN7\n+zYBD3nPh8qrVY9v3064q2tJPQAkEomkmkg7sIEJHPMG78r+/R/8K+f87XrSyVnMVeKYGy0tIIS8\nUFcZzzEv/Dk1Ha/r+pHJI7nHzLQnzEMhb+SUqTGRzkXZo6YSOB4SyWqms90THfldpMvl5PRJNrRt\n4NJ1l7KjewcfuPIvMSc8533m2DGe/drXaDVagpnZkqXz0MmHODF9gq5IFwcnDi57f9PpaSKWuqTr\nSXzbNgCe+fKXadmwgZYaTZ847x3v4AUf+EDwfaSvj9aMysGZI0T+LsKjpx9d8r4TZoKQrdK2eTOK\npqEa3jW+lVzUvLvHe1/hMkelQS6qPpGZJGR5ycGBdVsXPF+KgZe8hNfccw+KJr0qiURSX6Qwb2Tm\n15gXiQivZvadeZIj7UlOnDyAJVwMtfTs0VoT7e/n1378Yzpk7XJV8Zq/FXbM/aZY+Y65ZWVQXW+m\nb6ijg0haeI55MueYh8ocryOR1JPB9vWELZXHzzxe8WuPDR+ER5/nwLe/zf033sjY/v2YU1O8/Itf\n5GVf+AK4LuGMYCotHfPl8o0nv0FfrI+3XvxWDo7nhPk9h+/h+q9fz5f2fqms/diOzZmZM8xYM0Qs\ndUHn83Jo3bgRgMnnn2fw6qsrfn25tG3ZQveFFwbf6y0ttKZVjqfPkLJS3LL/liXvO2Em0FI2ffO6\nyLeSi5r39Hrvs9wZ5gDRiJdAmLRmgvFuPX0bg+cjZTrmQoiyG85JJBJJLZHLgw2Mm+1urWRj106D\nOubJzCwAp84cwlJcQlr9hTlAy7p19T6EpkMVouhYv8WEuR9lVwyDUDxO5JgbNH9TELTFOgIHRiJZ\nzcQ6u9l+IMrPjv6M9/G+il57bPQwnbMKv/jrvwZg6vnnEZpG1wUXgKKgGAbK6AzTrdIxXw6u6/Kt\nfd/i9ee9nq3tWzg6eZSMncFQDT6/9/P84Nkf8IsTv+Ctu95acl/fePIb3PDDG4iYCjEltiTxp+i5\nZqjnvf3tFb++UjZcey3h7m5Uw6DdyTnOPdGeJe9zcmIIPW0vGO/WpngLFaoN8UGvHKkSYR7K1phP\nurMM2BFe9LGPERscJHqrQsJwghp0iUQiaRSkY97A+DXlaoN3ZU9mvOY6J08fwlQcjFUizCXVR0Ep\nKsyTZhKA41PHA5Fu2hkUBy/K3tFBeNYOhHkrYWLdS79hlEhWklBHB9vPhLnv6H1Fey0sxunUMB0p\nDaGqxLdvZ2zfPra+9rVo0ShaOMy6q65i9pEnGR9ffrOutcxUeooT0ye4WD+LI+/7GI7r8NTwUwD8\nz9H/YV3rOoZmh8qqvX5y6Emm0lMMOZO0aOW5t4vxkk98gitvuolIT+3PdVd+6lNc+sEPAtCZ1yG9\n2Hl7MVzX5fanb8d2bMbOHMewFHp3756zTXt2SkHEUmlZtw6haUT7+8v+GdFICwAmNhERYvOv/ipG\neztR0+sNEwov/d9cIpFI6oEU5g2Mm+v+Nvf7BiOZFWBnxo6vKsdcUn0UlKJd2X0x7rgOp2e8MT2W\nZXo15tkoezQtmEiMM54aJ+YYsr5c0jCE4nF2DEeZTE+y9/Tesl9nOzYj1gR9Rjevve8+rrrpJi7+\nsz9j9/vfH2zzoo9/nHisk8klNJaT5PDPO+LJI2wbjTKodfOe/3oPxyaPcXjiML+/+/cB2D+8v+S+\n/F4ZLi4t+tJF4sZXvpINL3/5kl+/VLoj3cHXlU4SeHrkaX79m7/OPUfuYTYzS8hRF3Q974x4JUgR\nUyE6MMB1t93Gugri+m2xTpTs5SQivNSU0dZGLOMJ86gU5hKJpMGQwryBCaLs+PG4BhXm2XE0Z8ZP\nYKsQ0sobcSJpPBQhsAs4LyenT5K0ksH3foOsRGaWkJ1r/hYxFSZS4/z/7N13nKRllejx3/NWzlXd\n1TlO6okME4gSBRERRUQFBl11RVh1WZXde2W9JkBXd1GXZQyL4bprgnXXvSaWJCAgOQwwDBOYPD0z\nnXPl9N4/3gpd3T3TYTpVz/ny4dPVb6qnZmq667znPOfpj/XjSpqxB4NjXk+I+cYWCNDS46TaXsGP\nXv7RhM/rDHeSJkO1qwqrx4O7oYFV119f1KzKZLXitfuIZLtci6lpCxldydMv78KW1vjf2rt4dP+j\n/ONT/wjAX67/S8yamTc63xj3Wgf6D+Qfe62T78g+1yrchQz9QGxygXlXxFif/GD/QSLJCHYso44J\nuI2f3bml5HxLlkxqiVKr3YEvZvwbcGjGDX0jY25cwzbBOeZCCDFfSGC+AOTmrZVqxjyXJW3PfiCy\nWiRjvlAdq5S9N9rLorsW5Zcoym0DGEqGcCRN+VJ2V9LEQGKInmgPzriSjLkoGTa/H3NG8eG6K/n5\n1p9PeNm0bZ3bAFjqXXzc4zxWDzGVmnSZvCjIZczZajR9W9tqp85Tx/df+j7nNJxDvbeeZn8zn7r/\nU2x+fjOD8UES6cSY1xq+uoTHVnorfFT6avKP+wa7JnVu7ud362Ar0XRszMC83GusUuBIaVjc7kmP\nz2SzEYgagbnTZNzQN1mt+Yy5QzLmQogSI4F5CcuF4Zpm/BIq1cA8ms4G5lHjF7/DMrElTkTpMR2j\nlP3w4GES6QT7evdShvEBLffBLpQMY08Zza1sgQDOhIaOTutAK45IRgJzUTIclZWYHA4uiiwhmory\n3OHnxjxuIDaQv2EJ8MKRF3ClzLRUHH+VCG82+BtKSAO4yfruC9/lJ6/8hPZQO3YsBHwVLNu0idD+\nA1yz+hoAPrX8o+z+1a9Y7G4C4O8e/jvO/cm53P7E7aOuF0/FOTp0NP+91+mfnRcyjWrKGnEmjI+J\nR/Zsm9S5uVUzWgeygbka3aAz6DcCf0fShNk1+SDaZLNRFjUCfpep0OjNlTShZYyMuhBClBLpyl7C\ncoG4pnJd2UtzubRYOg4adKaMX+RWi5SyL1Sa0kiPcQOpI2Q0rOoKd1HZrzHg1woZ81QYV1JDs1iw\n+f35xj77+/azKpLBIaXsokSYrFYq1q+HLfvwNfv40/4/MRgf5OrVVxcdt/4H62kPtRP6PyE0pfHC\nkRdY3OfA3VJ73Ot77T7IGOtm++2lFwjOlXgqzt888DcA1Hnq8IYVLdduwh4Msuc//5O/3rAZTWks\n+uMhXvyv/+bDaxdz7idu58uPf5nXO1+n3jt6bfHhK0sA+JwT7zY+X3iDVXz3Jy3cfcYRIstSkzq3\nL5YNzAdbiWbiOLTRHdLLA9Wo/eDUrWgm06THZ3Y6CxlzcyEIdyY0LBmFZpPqOyFEaZGMeQkrBObZ\nUvZ5Nsd8IDZA21DbuMfFM0YZYLcysjw2KWVfsDSloY+RMe8MdwKQ0JPY0gqPchQy5ukITt2CUkYD\nOK/JyKx0RjplDXNRcqrPPJPul15mfdU67njmDq759TWj5u/u799PNBXlp6/+lJ5ID88ffo7FXTac\nVVXHvXYuKysZ84kbjA/y252/BaDcUc6RoSP4oibKVq3Cu2gRejqN53CIOy65g86nn8XscKBe388H\nlxdupuzq2TXqurkydnt2vrPPVXo/p2xlZdjSGs6kiaFMdPwThukaNKYEHOo9kA3MR99wdwTKskvJ\nTe1mvMlqJYgxd981rLmeK2HCnFayjKYQouTMWGCulAoopX6plBpQSvUppX6slBq3VkkpdbtS6qhS\nKqKU+qNSaumI/Tcopf6UvW5GKVV6E7emSzZDruZpKfvtT9zOlb+6EoCVd7Vw439/bMzjYhmjWVGv\nxfhqt8jaowvVyOZvufdsR7iwxJMlreFJWfOBeTgdxakXPmD5nYUPuK6kNql1b4WYa1VnnUUqGqUl\nU5nfdmToSNExjb5GAB7e9zDLvrOMjkgnqzqdeBobj3vtXPA3GB+c5lEvXDfdfxPX/ve1mDUzN591\nMwC+mBlnVRXBU0/F39LCS1//OgN79xI+epSV118Puo6nI0adpw4wmrzFU8VN997seROzrtHUb9xo\n9ntLr7LHkZ0m5EhqDKVCkzq3s9OoGGgdbCVGAqdpdFm51efDGzfjGyObPlFVduPP1WotBPfnH/Dz\n8ZdqJTAXQpScmcyY3wOsBC4GLgfOB35wvBOUUrcANwE3AmcAYeAhpYomJzmAB4B/oFTbkE8zbZ4u\nl9YZ6eTNnjcB2Nm/mx9t+7cxj4vpSQAGbEapnM0q88IWKjMm0tmMee23a3nff74PKJSyA1gyCldc\nFTLmmShOCj8CylyFOeWuhAm7ZMxFCSlbvZrK007D++Se/LYjg8WBeTgRBuDBPQ/SF+vje8FPs26o\nAt/SovvUo/g9xr+NwZgE5hPVOtgKwDcv+SYXNBtLdQ3YUziqqjBZrZz+5S/Tt307L33ta2hWKy2b\nNqE0jYFdu/jHt/0jXzjvC2T0DNs6t1Hz7Roe2/8YPZEe3uh8g7q4G392DnTAO/NrkE+3XP8OZ9JE\nKBMt6jI/nt5wD2BUPPWraFGpeY7N5+Nvnq3nA+FTpzxGv8cIzKOWwg3f8qiFM454UWaZrSmEKC0z\nEpgrpVYAlwLX67r+kq7rzwB/A1yrlKo+zqmfAb6q6/p9uq5vAz4M1AJX5g7QdX2zrut3AM/PxNhL\nSW65tFxX9vl2nyKcCNMf6x83exPPBuZ69t1ol8B8wbIoMwmMGzBtoTZ+s/M3gHETJ8ea1nCEM/RG\ne9F1nbAew6UXpjcEvIVM4+oOl2TMRUlRSrH2059mzZYoP9pgLME1MmMeig1SZS3Pd21v2B2lbM2a\nouXRxpILUvqHumdg5AuTQnHtmmv56zUfZ51vFQCBuDX/c6Vi/XoCK1bQ+eKLLLriCmPJxspKXrjt\nNk57NcOHA+8AjJso7aF27nj6Dqq+VcV/7/hvavvMeOMmlA4+X+kF5rZhGfNuhlh812L29+2f0Lm9\n0V782fnfKZXBOUZTV5vfT3O/nUrn1P9sKrMN5NKWwsfZXEBe+GwkhBClYaYy5mcDfbquvzJs2yMY\nkeOZY52glFoEVAOP5rbpuj6IEYCfPUPjLGm5MHy+LpcWThpZn5FNcEaKk8SUKfwCtduklH2hsmEh\nTnEToXgqXpwxTyucYZ2eoS7i6Tgp0kVzED2BQkloXcKD2SnvF1FagmvXYrc4OLe3mgpHkMODh/P7\n0pk0cT1J7QGjNLraXU3qtd0E160b97oBn3HTarJLW53MwskwLouLRz/2MX7/lvP49taz+PThDUVB\n3ZL3vx+laaz86EcBqDztNABe+da32Prpv8eDnfv33A/AQ3sfIq2n6Qh3UNNjwhc340hq2Hy+WX9t\nJ8rm93PqZz9LRWUDYPSx2dm9c0Ln9sf7aewv3FB1WkfPZLR4PChNw+KZ+hrvZ1eczgder+Cjwcvz\n28pWrpzy9YQQYi7NVGBeDXQO36Drehroze471jk60DFie8dxzjmpFZq/GXPM51tX9lDCmJOWK2c/\nloRKUZ4u3E23WaUr+0Jlx0JcpYpuIm3t2Jpv/gZGYO5OmOgJdzMUN5pYuVThPWHz+3lf2xL+zftZ\nbIGAZEVEydEsFvwrVrDljjtwHg3R2le4eZm7odncZ7znGwbtRDs7qTl7/PvTTo8PS0oxEOqZmYEv\nQKFECGssTe8bbwBQvXOQyvK6omOWXn01l//hD3gXLQLg9C99ibO/8Q30dJpEbx8NEfeYS9/VD9q4\ncH+ATz1fh/UEgs+5opRi9Q03UF5R6Dq/v39iGfP+5BB1gza07I/6sQJzpWlYfT6sU1jDPMddWcWV\nOyrwWAt/vhfefTeX/PKXU76mEELMlUlNwFFKfQO45TiH6Bjzyuelm2++Gd+Iu9abNm1i06ZNczSi\nE5MrZTdp2TnmczmYMeTmSW49+upxj4urNJWqjE4iANitkgFdqGzKQkKliaYKHX5fOPJCUcbcmtZw\nJUz0xXrz0yBy6zMD2AMBNt1XQ2NtgC6/LAklSlP56tX0vPYagaiZ1p5CsJP7udnUb0fTFeV7Btnw\nuVupOnPMYrMiFo8HZ1KjJyQZ84nq7+3g6BP3AZWsu/lmXr3zTqze4p6ymsmEt7k5/73F7ab+4ovR\nzGYyqRR1nYrtzRkUCh2dcxvP5alDT9EwYKO5fiWB3btPKCs81/yOAKSNxxMtZR/IhPHE3QRiFnoc\nSdy2sV9/+Smn4F++fMpjy/1dpcLh/Dab30/FBCpMhBBiut17773ce++9RdsGBgaOcfRok+2M8S1g\n7A5eBfuAdqBy+EallAkoy+4bSzuggCqKs+ZVwCtjnjFJd955Jxs2bJiOS80z2cKHeZYx7247CBps\nbTMCc9MxhpdQaWpsQbaljwJgt4/bvF+UKJsyStlzc2cB9vXtK8qYO2xO3INp+hK9+WWfvPbCDTWb\n30+iv59Yb680fhMlq/yUUwAoi5p5oPUR7nz2Tm4+++Z8pZErYeKqbUHWtbmpveCCCV3T4nZTGbay\nd4JZTWFkzG0pH0uvuYa6iy7i1TvvJNTaOu55FpeLmvPOI3zkCPU9vdAMZ3jWcMqi07jtbV/jkR99\nE7dtC77FixnYvXtUsF9KTE47ZFfgm0jGPKNnGNKjuJJeysJmehxJXPaxA/ML//VfT2hsuV4AmdTk\n1lkXQoiZMFbCd8uWLWzcuHFC508qMNd1vQcYt0ZOKfUs4FdKrR82z/xijMB7zKZtuq7vV0q1Z4/b\nmr2OF2NO+vcmM86TRSZbDlzImM+vnHk4HgIHbOsySgQt6bFnTiS0DHWuWhjcCsgc84XMrqwktHRR\nYH5w4CCJTAJvzMSgPY3D6sSrJ4nrCdqG2oDC+sxgfBDTMxmGDh3Ct3jxrL8GIaZD46WXAvAf9xjL\nSP7tw39bFJhXNC5l1cttmOx23A0NE7qm1eOhdtDGniEJzCcqplLULFvNGV/+Mrqu425oYPWNN07o\n3Au++10iHR08f/VZALhebeUm88fZ9Xe3UjU0hKWlBXswiNK0ku6FcUZgHRds9RO1wb6KPeMePxgf\nJKN0yt2VlEUiQBS3Y2ZuTFRu3Mipn/0sLdddNyPXF0KI2TQjc8x1Xd8JPAT8SCl1ulLqHOA7wL26\nrucz5kqpnUqp9ww79V+ALyql3q2UOgX4GXAY+N2wc6qUUqcCyzAC/bVKqVOVUidta2aVXS4tM8+a\nv8XMRop87+ABAGxjBOaZVIqEKUONsyq/zWGTjPlCZcuufJgrXW/2N7O7dzcAwYixrJBds1FuM/45\n7+vbB0Bg2BJpuQzJ4L590pFdlCyTzcaiK67gov4mXMqOWTPukw+G+gCoXmrMCvMtWYJmMk3omman\nk9ohG3uirZNuBtoX7Zt3DURnWjqTJqGlcWXnPyuluOLBB2l+17smfA1HZSWLM0ZDyoqwlZ3//u+0\nPf00PVu34l+2DHddnRGcl3AvDJ+/ghtfrKW5x8KBCWTMH9v/GADratZRnu3M7pqhwFxpGqtvuAGL\nSz43CCFK30yuY34dsBOjG/t9wJPAX404ZhmQr1HNLoP2HYz1zp/HWLP8Ml3XE8PO+QRGafsPMKZV\nPwFsAd49I69iHissl5YrZZ8/H6p0XSduzuCOm8hk1622ZkZ/uEzFYiRNOl67D2fK+AVuk4z5guVQ\nRvDdHjLuzy3yL2J3jxGYl4ezgbnJRtBpfNDNBeY+d6Fk3ZadV55JJiUwFyVvuWcxn01fQiqTIpVJ\nMRTqBaBuuVHq7m9pmfC1lKbRkPQSzkRpC7VN+LyMnqHsjjJu+MMNkxt8ics12nNbp958TClF3ZLV\n3PhyPecc9JGOx/P7/MuWsfSaa3h7iTciyzWuqwhZ6UsOjrsE6j2v38PikIfVDeupSBkBs2eGAnMh\nhFhIZiww13W9X9f1D+m67tN1PaDr+g26rkdGHGPSdf1nI7bdqut6ra7rTl3XL9V1fc+I/bfpuq5l\nzx3+f9F1Tgb5ruy5UvZ5FJhHU1F0BXWD1vw2qz46MA+HjZJml82FN2MsrWIz20YdJxYGm2a8H3JB\nQ3XSlW8El8uY28x2qjzGQgx7+/YaawB7C0ukDQ/GZY65KHWumhoQcMRoAAAgAElEQVRM/ca/gVAi\nxEA2MC+raaJi/Xqq3/KWSV1vsaUWgJ3dO0llJjbv9uiQ0d/j/77yf4kkI+McvXDkpg24jzH/eaL8\ny5ZxwV4v5VHjZ5g3O8XG39KC2W7HVVt7YgOdY5Zs1/SK7M3T4zWAS6aT/M/u/+GsVi82v58mh/Ha\nA57gMc8RQghhmMmMuZglmpp/gXmus3DtYCHI1sd4t4XCRqdCh9WFX7lQOvmSTrHw2EzG+6E91I7K\nQPzhwhJD+VJ2k40qv/Fhbl/fPhxJrWipIeuwlRXqLrxwFkYtxMxxVlUR22YsKTkUH2Ioe7PS6ynj\nkl/8guZ3vnNS11tasxKzrvHUoafw/6OfZ1ufRdf1ogaLI+3q3pV//Ovtv57CqyhNud9THvuJZXP9\ny5YBULZmDQ1vexvnb97MmV/7GoFVq054jPOByWrcUK2IGF+P1wCuPdROLBWjrstYu/0CzwZufaSZ\nKl9p35wQQojZIIF5CcutW14IzOdPV/ZciWDdsMA8pUaPL5T9EOq0u/Gb3JgzpTsPT4wvt5ZtW6gN\nZ1LDHc9OX8iY8MWMxw6LE29ZJc6Umb29e3EkTUVLDWlm47iqM8/EWV09y69AiOnlqqvDnjR+hg8l\nhhiKDqBlwO2e2lKAZYuWUBmz8/tdvyecDPPAngf4zc7f0HhnY76Z4ki7enZh0SysqljFEweemPJr\nKTW5jLnHcWLLLvqy0w0Cy5dz3l134V20iCXvfW9JzysfLrh+PRf8679y2ns+iC1j4kD/gWMem6u+\nCEQtOKqq8NY1sKzXidnhmKXRCiFE6ZLAfAHI/fKfP/nywgee8QLzcNSYq+ZyeAlYfFjGSquLBcOZ\nbezXPtSOM2nCnTCmN3iSFmwp4+/eYbFjKyvDEzcRSUWoDFuKMuYA7338cd76wx/O7uCFmAEtmzbR\ncvFlQDZjHu3HltKm3MzKu2gRFQMaL7e9DMCTB5/kd7t+Rzwd57437xvznF3du6jTA5ztWcufD/15\nai+kBA1GstUJrhMLzHMZc09j4wmPaT5SSlF3/vl4m5oIhi353h9jyQXmVdZyKk87DXe2jL+Uu9IL\nIcRskSiohOmZbMZcM4Kb+bBcWjwVZ2vHVkJxIzBvrFmGM2G8zcYKzCMRY3FUl8NNffNK7Fb55b2Q\n5daybRs6ijNpwpV9b7hiCns2MLdbHNjLy/FEje9rB21FGXMAR0VFPnMuRCkz2Ww0rFoPQH+4l1As\nhC099eW1PM3NVA1Z8t8/d/g5frfTWNjkD2/+YcxzdnXuoOxwBMcv/8zu3t355owL3eCQsfqr13Vi\nTSQtLhfn3nkni9/73ukY1rzlbmykYsjM3o5dxzzmyNARzBnFmre9G5PVinfxYpTJVDQFSQghxNgk\nMC9luXXMVTYwnwdzzL/w2Bc49e5T6Rg0SibrT9lIeXbucFKNHl84agTmTqePM1a9leW1a2ZvsGLW\nOe1GE6GOUDvOpIYrmzF3xxRumxF8O2wu7GVleOPGvpoha775kBALUSDb3LB/sItwfAh7auqBuXfR\nIipDxlzgSt1DPB1nID7AZYsu5ZF9jxBLxUads6trBzVDNlZ0OVEofrPjN1N/MSVkMGwsTef1nHgT\nyca3vx17efn4B5YwT0MDFWEL+3r3HvOY1q59+KJmas401navOfdcLv/d7/KraQghhDg2CcwXgMI8\ntrkPzHNNYQ50Gc3069dsYG27G3/UTEobnTFv37UNAF95NR/f8HGeuf6Z2RusmHW5jHl3rBdn0oTP\nZATc7riZuvImVAYqbOXZwNzIiNcO2UaVsguxkPi9FQD0DXYTSgxhS2toFss4Z43NFghQpxtB0Jp9\nJn5dcytfX/pZLvj3Q0RTUZ5tfbboeF3XORpppyxqJqi8XGpZxzee+gaJdGKsyy8ohcB8YQfU08Xd\n0EBFxMqh8JFjJgJau/dTFjXjqKoCjM8n3kWLZnOYQghRsiQwL2GZbCCusqXsmXmQMS+zG5mH/dk7\n6n5/JddtreJ9b1SQUnrRL3M9k2H/s0ajIc8UGx2J0uJyFsoZXQmN6qpmADwJE4tqlvPd+1pY5V6C\nrbwcz/CMuQTmYgFzeQOY04qBcC+hRAS7bply4zClFEvKlgJQGbISfK2TC7bZqeuAMpOXR/Y9UnR8\nX6yPhJ6iyl5B7bnncsXeGloHWxd0E7hUJkXrQCtDkQHMaYXTLWXWE2Gy2aixBolkYvk+MiMdGTiM\nP2rGWVk5y6MTQojSJ4H5AqDlmr/Ng67sZY5sYN53AAC3J8AVDz5I80WXoGuQjBfKKPvffJMdmcN4\nzW5qPbKUysnA7Sp8APbGzVTXGwGEO2HCXV+PP2bGZLdj8/sJRiw402YqE05MNlnbXixcZrcbe0pj\nMNxHJBXBqU8tW56zvG4Njf1GaXrHiy9y9Ikn0FCsC1fyyP7iwDzXqb2+vJnK00/H9/JhnBYnr3W8\ndkJjmM/e8x/vofFfGhmKDmBLqSk32jsZVfvrAOgId4y5vy3SQSBmWfBl/UIIMRMkMC9h+UA8H5jP\ng4x5NjA/OHQIW1Jhc7lxNzTgCRplbbFYOH9sYmCA16vCnF/7Flm7/CRhcTgxp433qzduItDYTO2A\nlfoBG+76egBMdjsmq5W39TTyT39ejc3jXTDLDgkxFovLhSOp8WrvNl5J7CGQObGlpYLNS/nGw0tY\nna4hFQ6TGBig/uKLad4ZY0vblqJ55m0hIzBvrltO5caNkEyx3NHM1o6tJzSG+aor3MX9u+8H4Gjo\n6AnN5z8Z1VUaZemd4c4x93cmeqnQvFOeiiGEECcziYZKWC4Q15SG0udHV3ZzdrmzQ5GjRmfhbCbC\nZrEDEIuH8WI0OhoI97GnPMJfNV44J2MVs8/scKBl36Z+XNiDQb75w6WYXS5sZcZNnVx23BuogP37\nca6QkkixsFmyGfP7u5+kTg9wfc/6E7qed/FiABouuYTmyy8n2tmJf/lymj92H6lMim2d2zit9jSg\nkDFvrF2Of/ly/C0t1B7dwVbHwgzMb37o5vzjvaGDJ9QB/2RUX9sCHccOzMOZKD7HiXW5F0KIk5Vk\nzBcApRTo8yNj3vrk4wD0JQdwx035EsFCYB7JH7u9dydpDc5pPGfWxynmhtluJ2E23qdlZl++U6+9\nrCz/XjHbjfdKLlD3t7TMwUiFmD0mmw1H2uipcEFqGZXWEysD9jQ3A0aH9qozzqD5Xe/Ct3Qpy6z1\nmNDY0rYlf+zhngM4Expl1Q0opVh9440E3xxge9f2BdcA7ulDT/PL13/J7RfeDsC28F48CbNMlZmE\n2rolqAy09baO2pdMJ0mpDB63BOZCCDEVEpiXsEyulF3TUMyPjHk8UmgIUz9oy2cibFajNDM+LDAP\nxY2l0sq8khE9WZiyQTdA0BrIB+Y2vz8fmOeOsQWMD3cSmIuFTilF2mxM11gUcp9wBtfT0EDtBRdQ\nc07hpqdSiqYzz6Uh6i4OzLv244+ZcVQYneHrLryQpgEHyUyS7V3b88f1Rns52H/whMY1197seROA\nD5ddBkBPeoCamEumykyCq6IKT8LE0e7R74VI0vj97vPK/HIhhJgKCcxLWTZDrpQRmM+DuByTq/CB\nsjHsRjMbsyVyGfNorBCYh2NGED+8U7dY2MyOwtzZCkcwH3zbyspwVlejWa04s8vspCLZD3nLls3+\nQIWYZR3OOAD+5w5SdfrpJ3QtzWLhwu9/H/+IfzuVp59OQ4fi5SMv5bcd7W8t6qJtdjg4xbccExov\nHHkhf9yX//RlrvzVlSc0rrnWEe4gYA/w9LUfwZ1d9aEuKSs+TIY9GMQbM9Pef2TUvlxg7vUGZ3tY\nQgixIEhgXsL0fGCe/Z6578qunIWMaHO8EHDnM+aJYYF5PBuYW6Uj7slieMa8wlVRKGUPBHBUVPCB\n557Dt2QJALGeHgACy5fP/kCFmGUhSwqADRsuYcVHPzojz1G+ejUN/Xbe6HojX3F1dKgNf8yMPZsx\nB6hpWUNT3Mfzh5/Pb9vdu5vtXdtJZ9IzMrbZ0BHqoFy5AfBHjZvGdRlZqnMy7OXl+OImOgbbRu0L\nJ43mrm4pZRdCiCmRwLyE5QNzzTRv5phnhlUELrPU5R+PVcoeTRi/xB3mE+tALEqHeVhg7iurKmTM\ns1+Hz/VcfcMN2INB7EHJvoiF79Mdp3Nmq5fqDRtnrLTau3gxjVE30XSMA/0HuO/N+3gxvJ2WSKDo\n32Zg5UoWt5t5/kghMD80cIhEOsGB/gMzMrbZ0N5/BOvRQVz19QRiRmDebK2Z41GVFpvPhy9hpTPS\nNWpfKDoIgEeq4IQQYkokMF8ANKVQqHkRmKczqfzj1UsL5Zj2bGAeS0Tz28KJMKaMwmKSZVVOFsMz\n5vbycswOB2aXa8zgu+myy7jqiSdk/qc4KbztQJBPP1tPYOXKGXsOzWxmdeVqAN7ofINbHrmFM9VS\nroquLTousGIFizssbO/azmB8EF3X8/PLd3bvnLHxzbTW9t14Qjrn33UXgWzGvKVm1RyPqrQoTSOg\nXHQlekftC4X7AXDbZXqAEEJMhQTmJSzf7E2pedP8La1n8EVN/NODS6hYU/iwZ7cZc8/jwwLzSCqK\nLWOa9TGKuaO0wo8cR7nRIOiiH/+YJe9731wNSYh5IXT4MMCMBuYALctOw5kyc//u+9netZ13Di3D\nVVlVdEz56tUs6XWgo/PikRfpifYQTRk/u3f17JrR8c2kzmg3voQF//LlVCZclEXMVDdKD4vJCpr9\ndKX7RyUDBsN9ALglYy6EEFMigXkpG7aO+XwpZU9nUthTJuoHbZSvWZPfXphjXgjMY8kINl0C85PN\nhfv8bDziyWfJg2vXYvVIhkWc3DSLUTlkzy4TOFPKli+ndsDC3S/fjUmZWHFAy3dkz7H6fKwIrsCF\njeePPM+hgUMAmDOqpDPm3cl+giYfSik+ED6FLzzejKepaa6HVXLWWJoZIsa2zm1F20PhAQA8Tpm3\nL4QQUyGBeQkblTGfD4G5nsakg2a14h/WtKuQMY/lt0XSMWy6edbHKObWDS/V8rdPN2AvlyV1hMi5\n9Fe/4sK7757x5/EtXcriXuNG6WnWZSS376PhbW8bdVzluvUsHfLy/JHn82XsKzqdvN722oyPcSak\nMin6MyEqbMaNj2BFPdUhqwTmU3C6ZzXWjImH9z5ctH0omg3MpfmbEEJMiQTmJazQ/C27XNo8kNYz\naGi87ac/xWS15rfb7Ubn9ViykDGPpmLYkfnlJysJzIUo8C9dSu1558348/iWLuWDr1bxPyvv4hOP\nBFh69dXUX3TRqOOCp55K82F4vvU5Dg4cxJrWWNvh4rXOraSG9RIpFd2RbnQFVS6jbD+3LKOnoWEu\nh1WSfOVVrBr08+DeB4u2h3PN3yQwF0KIKZHAfAFQyvhrzMyDOeapTAqzZia4triZUC5jnkgWMuax\nTBy7siJOThKYCzH7rF4vnooqHI9sw9o2QNM73znmccF161jSY6cj0smDu+6nMmRhca+DaDpWkuXs\nHaEOAKq8Rhd27+LFeJqbMTudczmskuSqreWsPU4e2fcI97x+T357KDqIJa2wOWUJVCGEmAoJzEtY\nbh1aAHRAn/t1zNN6mrHy93aHsXZsfFhgHs3EsSnJmJ+sLC758CbEXPAtXUrb009j8XqpWLdu7GMW\nL2ZFzOgD8dCBP7K0x0FTvwOF4qWjLwHwmQc+w1OHnpq2cem6bmS2Z2BaVk+0B4DKgLGM54oPf5hL\n77nneKeIY6g680zO3efm8ooL+Pyjn8//fYXjIawphckhS6AKIcRUSGBeynLN35hPy6WNHZjnmr8l\nUvH8tlgmjkOzjTpWCCHEzGm67DI8TU0sv+66fNO5kZSmsWTFRqrTRmPGZT0OGlauoyHh5cmDT3J0\n6CibX9jM5uc3T9u4vvPCd6j4ZgWX/uLSabtmTk84G5gH6wGj2Z7VJ93Dp8LT3Iy7to5Leps4NHCI\nHd07gGxgntYwS2AuhBBTIp23StjI5m/zoZQ9k51jPpLVZJSsx4aXsutJPJp04xZCiNm05KqrWHLV\nVeMeFzz1VBZv+w3tNdDS76Hu3Rdy7uNP8W/WfyOUCAHwwJ4HiKfi2MwnfpP12cPPAvB069Pouo5S\n09c9pafvKAAVlY3Tds2TlVKKmnPPJfqnR7G/1c4Dux9gVcUqwokQtrSGyW6f6yEKIURJkox5Ccvk\nmr/lPrvMh4y5nsY0RsZcKYUpo0ikE/ltMZI4TPIL/GRzzre/zZm33z7XwxBCjCN46qmsabVRlXLT\nElhG8NRTeedWD1c0Xsp/bf8vfDYfoUSIxw88Pi3P93rH69S4a4gkI3SGO6flmjldvUexJzU8FVXj\nHyzGter66zFHkmyI1/LDLT9kMD5IJBnBljahmWQZVCGEmAoJzBcApTSUPiyDPoeMwHzst5Ulo4pK\n2eNKAvOTUdM73sGS971vrochhBhHcO1azj/g41u/aaBy3XrKVq9GKY3/7XofdrOddwfOx2/1saVt\ny5jnHx48zGce+Aw/eOkH4z5XIp1gV88u3r3kcgD29e2b1tfSM9iJK2HCFpCO4dPBXV/P6r/6K676\nk4X2oXa++NgXiSQj2GUJVCGEmDIJzEtZUYZ8nswxP0YpO4BZ14gXBeZpnGaZiyaEEPOR1efDt3gJ\nmq6o3LABq8eDd9EitC17eeyahzjnx7upSbjY07tn1Lm6rnPNr69h8wubueOZO8Z9rp3dO0llUvi/\nY6yNPd2BeV+4B1dSw+r1Tut1T2Z1b30rNX0mLvRtZGvHViKpKHaZISmEEFMmgXkpyzV/U0a7tbkP\ny49dyg5GYF6cMU/hsEhgLoQQ81Vu6cuKjRsBWHbNNRz4wx9If/+3eCMa5e1Jdve8Oeq8n2/9Oc+0\nPsNFiy6iL9o37vNs69wGwNIeB96Yacxg/0T0RftwJk1YPNLXZLp4m5rwNDXhaYtwePBwNjCXJVCF\nEGKqJDAvYflAPDvJfL5nzC3KTDQyBICeyRA3ZXBaZMksIYSYrxouvZSac8/F3dAAQMsHP0jzFVdw\n6KGH0KxWKnp03uwsXtf8T/v/xF/+7i/50NoP8bF1H6Mv1kc4ET7u8+zq3kUgaSPor6YibGV32/Zp\nfR0DiQHcGZvMf55mS6++Gu31AxzuP0QkE8OuJDAXQoipksC8hOUCcWOxNNCZm3XM20PtNNzZwJ7e\nPcedY+7UbAzEBkiGQtx7yikktAxOq3OWRyuEEGKi6s4/n7f+4Af5DulKKdbedBPKbKbpHe+gLuml\nI95dFHg/efBJgs4gP7nsh2ivHwCgdbD1uM/zZvcuqgbM1F98MZUhC7s6dxz3+M5wJ7c9fhupTGpC\nr2MgMYRHSYXWdFvxkY/QXNVCXE/SnunHIYG5EEJMmQTmJaywXBpG87c5Sphv7djK4cHDPNv6LBky\naGrst1XQ5Kc72UdP635uvWg/UWsGp1Uy5kIIUUrcdXWcv3kzaz75SRZ7mwGKSs+PDh2l3lvPs5+7\nhY67/h2A1oHiwDyWivHJ+z7JEweeAGBX+xtUDVqov+gilvY62Dqwk1gqxrH89NWfcusTt/If2/5j\nQmMeSIfwaXIjeLoppVhUuxyAo1o/TmnoKoQQUyaBeQnTdSNDbuTL1Zx1ZT/QfwCAHd07SOuZY2bM\nq+xBuhli58FX2R2MAuCyuWdrmEIIIaZJ3QUX4GlsZHnFCsBo3pbTFmrDOwSHH32URQ2rAKND+3BP\nH3qau1++mwt/eiEvH32ZPQP7qQ5ZKV+zhnXpRhJ6kucOP1d0TjwV55Y/3kJXuIveaC8A33722xMa\n75AexWuW+eUzoTm4NP9YVloRQoipk/aZpSyXMFfZUvY5SpmPDMytx8iYV7uqecX0GvuPFEoUrRm5\nNySEEKWqvnkl5UesvNr+KtesuQaAQ+17CGxtY+k1NxNcuxbfc//Dwd79Rec9e/hZ3FY3ZY4yvvL4\nVxhKh2nUmrD6fKwOLMejv84TB55gadlSfrfzd7ze+TpWk5XvvPAdFgUWsafPyNC/2v4q4UQY1zjV\nV0PE8FulI/tMqK9ZAt3G43XaorkdjBBClDAJzEtYoZRdZfugTyww39G1g8H4IGfWnzkt48gF5tu7\ntuMhgwnLmMfV+uroc6TYc2hbvlaj9tSN0zIGIYQQs8/T1ETTVisvH3kxv+1o6Cgt+Dj9i1+k88UX\nKYta2N+xG4CMnuGMH53By20v8/Ylb+etzW/l849+HoCl/iUA+JsXsWYgwP177udnW39G60ArZY4y\nOsIdADx16Cl2tb1BVcpFhzlMT7TnuIF5LBUjoaUJOGQN85ngqamD143H51hXzu1ghBCihEm6soQN\nb/42/Pvx/NPT/8T/+uP/mrZxHBw4iFkzs7d3LzGSx5xjXh9cRMySYVfPrvy2geTQtI1DCCHE7PI0\nNdHcb2dL2xZ0XSedSdObHqTKHkRpGs6aGsojFlr7DgDGjdyX214GoGx7D+/qWcy7Wt5FVcLJirpT\nAKhYv571OzVeOPIC+/r28eiHH2XXTbu4ccONvKvlXfz50J/Z27+PRUeNDus9kZ7jjnEgNgCA3ymB\n+UxwVlfz/m0VfOq5OqwO6RsjhBBTJYF5SStkzNEnHpjHUrFRTXUe3vvwhNaaHcv+nr0s6bSS1tMc\n1QYwqbGXo2moNrIh2/XDLEmV86Xzv8T7V71/Ss8phBBi7nmbmmjuc9AT7+PI0BG6Il2klU6Nswow\ngrayqIXDQ0f4yG8/wifu+wQAixz1nPJEL1v/z238oOEW7npoJRXNywCoOvNMNh71YNds1HvrOafx\nHHx2H3ed8w3WP9bHoYFDRPQ4S3uMLuvdke7jjrEvZvxuK3cFZ+qP4aTmqKzkvdsrOOeQD5vPN9fD\nEUKIkiWl7CUsF4ar7H8Tbf6WzCRHLTHznv94D//89n/mk6d/clJjiKfitEU6WDngZ1cwQkyljpkx\nb6xpAWBfIMpbzM3c/tbbJ/VcQggh5herz8cqWzPQypa2LTR4jfXOa/3GV5PVShVenkm087PXfgZA\n0FHObxyfY4/6Fc5VNbz67W+TjkbxNDUB4KqtJVjTxEf0Who8Lfzp+o8T6ejAHgjQ9Ho3ZY0eejND\ntHQbXdY7+44cd4xdoU4AKrzVM/AnICyuQpa8+fLL53AkQghR2iRjXsqyGXIt1/xtooF5OkkynSza\nFk/FiSQjkx5Cbs5fMGysXZpQqWN2Za/11RnPZdGptkrmQgghFoJlyzbgTxvl7G2hNgDqypvy+2vt\nVYT0QpVW1YEob9x9N8F161jxF39B/5tvAuBdVGgcVnPuuVz6WJol33uOTDKJd9Eiul55BUfKxD1H\nruGO189kY9U6TBlo7zn+Gum5/VWBuml7zWI0k8OBu6FhrochhBAlSzLmJWx48zeYeCl7MpMkmSkE\n5hk9g45OPB2f9Bj6Y/0A+OJG+Xpa6ccsZQ/YA9hMNuLpOEsb10z6uYQQQsw/5atW0/ialVfathCw\n+jCnFQ01hSW0GnwNwPOF7weMJbX8LS00v/vdJEMhul97DXd9ff6Y5ne+k9333gtKcc43v4mjspKD\nDz5I344dvHnPPdTFYlRcsw535Pd0DbQdd3ztfYdROlSWSWA+U654+OGizLkQQojJk8C8hOWbv6lJ\nlrKPyJjnytpHzjufiFxTHU/Smt9mPkZgrpRi82Wb+f2u3/P+i/9q0s8lhBBi/ilbvZqmRy28fPgl\nPLqdhgEb3qra/P7G8kWQ/ZXz4VeqOaXdRdPll7PkqqtQStFy3XW0XHdd0TWD69bhqq3FVVuLs9oo\nQW9+5ztxVlWx4yc/yR/jedxM11DnccfX2X8UV8KEM1A+ja9aDOeuk5seQghxoiQwL2H5MFwplM5E\nV0sblTHPBebx1NQz5rVVi4CDAMecYw5w48YbuXHjjZN+HiGEEPNT2apVLOpz8IfIYR469Chr++w4\nKyvz+5tqWlAHwRszcenuMlx1dZxzxx3HvabSNM7fvBmz01m0vWLDBtZ86lO0/vGPVJ11Fu6HTPSE\nj9/8rXOwHU/chC0gXdmFEELMXzLHvITpegYYtlzaCWbMT6SUva5qcX7bsUrZhRBCLDw2v58NFmPV\nje54L819DhzDAnN/bQO+mJmqkFFZFVixYkLXDaxcmW8Il6OUYu1f/zWX//a3OCsr8aSt9ESPv1xa\nZ6hTAnMhhBDzngTmpSzX/G2S65iPzJinM2ng2BnzUCLEgf4DY+7r6W/DklZU1Q8LzDV5WwkhxMlk\n8bL1bIjWANCSqcQ6bNksZ00NNUNW6geNueXla6avx4hfOelNDhz3mJ5oD760DZPNNm3PK4QQQkw3\nKWUvYUWl7Ew8Y55IJyaVMa//53oG4gPoXxl9/Z6BThxJDXdFNRjJc8mYCyHESaZs1So+8dMq/nx2\nLRtqT0Vlm5KCsZb5Z56px6LMvPuBB4qy6ScqYPLyRqr9uMf0JvqpRRqTCSGEmN8ktVnKTqT52xhz\nzMdq/vbc4ecYiB87G9EX6sGVMOEa1lRHAnMhhDi5lK9Zg6svwTvuj1Kxqjgj7ggG8WXslFfU42ls\nxGy3T9vz1prL6WCAV9tfPeYxvekhAmbPtD2nEEIIMRMkMC9huUBcKYyM+WRK2cfImEeiQ6OOfXTf\nowA4Lc5R+wD6Ir04khqeskIGRAJzIYQ4uVRs3JgvFS9btapon9I0HFVVeBobp/15r7CeQVPCzyfu\n+8Qxj+knTJnVP+3PLYQQQkwnCcxLWGG5NA0mmTFP6+n8+bnAfKDt8KhjI8kIANFkdMzAfyDWhzNp\nwl0WzG8zaxKYCyHEycRktbLiox8FjOXTRqo97zxqzjln2p/XE6jgso4GXjr60ph9UmKpGFGVJGiX\npdKEEELMbzMWmCulAkqpXyqlBpRSfUqpHyulxp3kpZS6XSl1VCkVUUr9USm1dMQ1Nyuldmb3H1RK\n3aWU8s7U6ygFiskvlzb8a36OeSYx6thcYK6jj1nq3h8fxLzNUF4AACAASURBVJnUcJSVo4wm8ZIx\nF0KIk9Dam27isv/3/3DX14/ad/qXvsTKbOA+nWw+HzVtGdJ6mh3dO0btP9hvLONZ564dtU8IIYSY\nT2YyY34PsBK4GLgcOB/4wfFOUErdAtwE3AicAYSBh5RS1uwhtUAN8LfAauAjwDuAH8/A+Oe9fAY7\nW8s+mYx50deUEZCP1fwtF5iD0Z19pKHEEO6MDZPdjjljNPvRJGMuhBAnHaVpBJYvn9XnrLvwQqrb\njbvC2zq3jdr//JHnATi1bHQWXwghhJhPZiQwV0qtAC4Frtd1/SVd158B/ga4VilVfZxTPwN8Vdf1\n+3Rd3wZ8GCMYvxJA1/U3dF3/gK7r9+u6vl/X9ceBLwDvVkY990klP8c8mzEfb455V7iLZ1ufHZUx\nzwfmwxrC5URShcA8nAyP2j+QDuHW7GgWCybdCMxNmjT7F0IIMfPKVq1i/bUfIRi1srVj66j9z7U+\nR+2glYoyyZgLIYSY32YqmD0b6NN1/ZVh2x7BKLY+c6wTlFKLgGrg0dw2XdcHgeez1zsWPzCo63rm\nRAddaoZnzCfSlf1HW37E+/7zfSQSRkl6PmOe/T4xRmAeTUbxWI1utuHE6MA8lI7g1VxoZnM+Yy6l\n7EIIIWZLxcaN1PdZee3wllH7njv0DEt6HNjLZY65EEKI+W2mAvNqoHP4Bl3X00Bvdt+xztGBjhHb\nO451jlIqCHyRcUrkFyp92HJpMH4peygRIpwMFwLyERnzhD46MO9tO4Sj1yhxHytjPqRH8ZrdKE0r\nBOZSyi6EEGKW+JcupTpkZV/3Hvb27uWSn1/C91/8PoPxQV7v3sbSXgeBFSvmephCCCHEcU2q5lgp\n9Q3gluMcomPMK59xSikP8D/ANuC2iZxz88034/P5irZt2rSJTZs2Tf8AZ8WwUnbGD8xjqRjRZJQU\naaCQMU9lvyb01KhzhsL9eOImOt2j55jHU3ESKo3X4gbIl7JbTFLKLoQQYna4GxoIpB10xrq56YGb\neGTfIxzoP4DH6iGlpzk72oizpmauhymEEGKBu/fee7n33nuLtg0MDEz4/MlGUN8C/m2cY/YB7UDl\n8I1KKRNQlt03lnaM5birKM6aVwHDS+JRSrmBh4B+4KpsNn5cd955Jxs2bJjIoSUhH4jnStnHmWMe\nT8WNLLkRPxcy5kkjIz5WxjyajuGNGxnwkaXsuS7tDrsRmJt1owBDStmFEELMFqVpVHtrGcwcYUfX\nDqrd1ezp3cO/PP8vnBKvZtmyjfnKMiGEEGKmjJXw3bJlCxs3bpzQ+ZMqZdd1vUfX9TfH+T8FPAv4\nlVLrh51+MUZI+Pwxrr0fIzi/OLctuwzamcAzw7Z5gIeBKHCFruuj1/g6WQxryj4RI5c7G9mVPcHo\njHksk8AbN+7fjCxlz3VxHxWYS/M3IYQQs6i+chEABwcOcpX3fAC2tG3hvDedBNeuncuhCSGEEBMy\nI3PMdV3fiZHR/pFS6nSl1DnAd4B7dV3PZ8yz65G/Z9ip/wJ8USn1bqXUKcDPgMPA77LHe4A/Ak7g\n4xjBf1X2/5O6KzuM35V95HJoI+eYJxldeBDT47izGfPBaHEpRjxlXM/pMJrDmckF5pIxF0IIMXtq\nyhrzj02/fporBpdz64rP8JYdNqrOHLPnrBBCCDGvzGRq8zrguxjd2DPArzGWQxtuGZCf9K3r+h1K\nKSdGMzc/8GfgsmFZ8Q3A6dnHe7JfjenVsAg4NP0vY/7KN3/TtAl1ZT9WxjyVys4xV2MF5knsKQvW\nlGIo0l+0LxfoO51GYG6SjLkQQog5UFfeCEPG40DMwrlPuGl0uOmorSO4bt3cDk4IIYSYgBmLoHRd\n7wc+NM4xo1Kruq7fCtx6jOOfACQdm5ULw/PN38bJmI8KzDO5wNy475FROqlMCvOwwDpGEltaw5bS\nCEXGzpg7nF4ALNmMuVkCcyGEELOotmoxHDAer9p4IamHXmDfb37Dqo9/XOaXCyGEKAknXfn3QlK8\njvn4XdlHlbLnurGnCtP0c8F2/nuVwmVzY09po0rZw1EjPZHLmJuz90yklF0IIcRs8lXW5KddnXLO\nO1CahtXnY9XHPjbHIxNCCCEmRlKbJW3YOub6FErZR2TMwQjeXbiM/ekkKZXBZfdgS2uEYoPF14sZ\ny6c5c83fsoG52WSZ6gsSQgghJs1eXo43ZvwOCtQ0cOVjj2H1ejHZbHM8MiGEEGJiJDAvYfk55vlS\n9uMfPzIbnu/Knh47Yx5NRQFwOb3YUopQbKjo/Gg2MLfbjEDekgvMpZRdCCHELLIHg/jiZky6wllV\nhaOiYq6HJIQQQkyKRFAlrZAxV8O+P5aRGfNENiBPpwvLpA0vd48kIwB4XH7sIY1wIlR0fjRu7Lfb\nnACYs+uXm0zythJCCDF7LC4XS4Y8DKk4zqqquR6OEEIIMWkSQZWw4RlzJtCVfeQc80TCCNSTw0rZ\nhwfv0aSRMXe7A9j6NUKjAnNjXfPcOuYWZbydZI65EEKI2XZD5zpiPT1Y3O65HooQQggxaRKYl7B8\nGK6m1pU9kcwG5tmSdiguZc9lzL3ecmxpLf99Ti4wd9qNUvZcxlzmmAshhJhtjmAQzSwfa4QQQpQm\n+Q1WyvRhzd8YfzmYWDYDnpMLzFPDAvPhwXs+MPeUYU+Z6EqFi6+XMPbnMubmbMZc5pgLIYSYba6G\nBixe71wPQwghhJgSiaBKmD5ijnlmnFL2aLS4FD2eL2UfFpjHC1nx3Jxyl8OLN2Njd6q4+VvuWHs2\nY27NlbLLHHMhhBCz7LTPfx49k5nrYQghhBBTIhHUAmAE5mrctuxxPVn0fTJbtp7OFJq/5crTAULh\nfsAIzP26k970kaLzY4kolrTCnF2OJpcpl1J2IYQQs80q2XIhhBAlTJvrAYipGz6nfLyMua7rJEgV\nbUskjcB8+BzzSLSQFQ9FjHXL3U4ffpxE9Pio5nDmtELLBua55m9myZgLIYQQQgghxIRJYF7CCqXs\n2b/G42TME8PWKs+JjzHHPBorZMzD0UJgXqZ5AOiOdA87P4olozBZrQBYNCNTbpKMuRBCCCGEEEJM\nmATmpUwfuY75sY1cKk3pkMiWsqcySawp4wq5hm4AoeggSgeX00uZ2SgR7Ap35ffHkjEs6eGBuTR/\nE0IIIYQQQojJksC8hOkjurIfbx3zkUulWVOKVLbpWyqdwpo23gqJeKFzezg2hDWtMDudlFl8AHRF\nCoF5PBXDnNHQRmTMzWbJmAshhBBCCCHERElgvgBkW78dtyf78PXJAWxpLZ8xT2dSWNJGxjyeGBGY\npzTMdjvl1gBQnDGPp+JYMiq/bqwlW8Iuc8yFEEIIIYQQYuIkMC9hmaLmb6qoGdxIIzPm5owikTLm\nnSfTKTRdYUoX1jYHCMdDWNMaJrsdt8OLLWMqmmMeS8Ww6Kb891bNyJzLHHMhhBBCCCGEmDgJzEtY\nrnRd07Rsxnz8wFxlwJQGU0aRzDaES2VSmHQw66ooYx6Jh41SdocDi9uNN2UtLmVPx7HqhbdQLmNu\nkcBcCCGEEEIIISZMAvNSlptjzvhzzHPN35xJDbOuMGcUyVQuME9iyihMGUU8WSh5DyfD2LIZc0dF\nBZ6YVlzKnk5goVC2bjVlM+Zm67S9RCGEEEIIIYRY6GQycEnLBuLZruwTKWV3Jk2EVRqTXihlT2fS\naNlgPTEsMI8mo1hTCpPNhrO6Gvdr0BnqyO9PZBJYKZSyyxxzIYQQQghxMjh06BDd3d3jHygWvGAw\nSGNj4wlfRyKoBUApjfEWTMs1f3MmTcTNGaOUPZPtyp5JYcLImCeGLasWTUWwYUYphbOyElfCRM9Q\nZ+GaIzLmlmymXLqyCyGEEEKIherQoUOsXLmSSCQy/sFiwXM6nezYseOEg3MJzEtYZkSGfCJzzJ1J\njUGbwpSheI45Gia9UN4OEEnFsOlGkO2oqsKRMtEd6cvvj2cSOIa9hWxmGwBmmWMuhBBCCCEWqO7u\nbiKRCL/4xS9YuXLlXA9HzKEdO3bwoQ99iO7ubgnMT2a50vVC87djK8wxN2HSlRGEp4dlzJUJcyZF\nIl0IzKPpGHaMINtZWWkE9bHB/P6EnsSnCkG4RQJzIYQQQghxkli5ciUbNmyY62GIBUKavy0AuVL2\niWbMTZls87dcxlw35pybdS0frAPE0nEcyihPt3g8uLAxmBzK70/oKaxaIQi35gJzKWUXQgghhBBC\niAmTwLyE6WRGbBgdmCfSCf7rjf8ikjDmwATDFrxxU9Ec83QmbZSyo5HMDMuY63Hs2bXJlVL4HH5C\nmcJyagk9WRSYn+E9hct3llPpqpy21yiEEEIIIYQQC50E5guAUgqFIjNGxnzz85u5+tdX89SBJzFl\n4D07gnzuycZsKXsKgLRuzDG36BqJ4RnzTAK7Zst/73eWkSCVbyQ3MmNe4Qxy3dYqTBZZLk0IIYQQ\nQgghJkoC8xI2fHk0hRozYx5OhAHY1bMLV8KEJaPhTJmMsvVcV3Y9jUllM+bDA3MSOEzDAnN3GQCD\ncWOeeYIUtmGBu8lqBOSaqbCEmhBCCCGEEEKI45PAvITlm78p7ZiLpbmtbgD29x/AGx/WQR0z8Uyu\nK7tRym5GI6kPD8yTOEyO/Pc+RyEw3961nX4tik0rZMerzzqLM267DXt5+bS8PiGEEEIIIcTcu/XW\nW9G0iYWOmqZx++23z/CIFh4JzBcAlf1HMlbzN5fVBUBHtBNPvJDJtmqWfGCe1tPZUnZTPosOECeF\n01wIzP2uAAAD8QFWf381cS2Nbi7cEjA7nSx9//un8ZUJIYQQQggh5ppSasKB+Vz68Y9/zIUXXkh1\ndTV2u53FixfzsY99jIMHD8710MY1//90xTENn1NudGUfLZ1J5x97Y9mMuVLYlIVENjtuBOYmzMpE\nMpPKn5fUMjgshcA84DYy4bt7due31ZokOy6EEEIIIcRC9qUvfYlIJDLXwxjXK6+8wuLFi7nll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GjKCkpISJEye2dvOalJVV2Z1za8zsFeAxM5sDhIDfAIuTV2Q3szXAXOfc0njR/cAtZrYe+AS4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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0454b62550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.plot(ts_list, r3_overall_reward_list, c='brown', label='ridge-3')\n",
    "ax.plot(ts_list, r2_overall_reward_list, c='green', label='ridge-2')\n",
    "ax.plot(ts_list, [0]*len(ts_list), c='red', label='zero line')\n",
    "ax.legend(loc='lower right')\n",
    "ax.set_ylim([-0.04,0.04])\n",
    "ax.set_xlim([850, 1850])\n",
    "plt.title(\"Cumulative R value change for Trivariate Ridge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "290b68e5-44a8-64b4-d600-53b7326afc67"
   },
   "source": [
    "As we could see, both these lines go together most of the times with trivariate score marginally below bivariate line in some cases. \n",
    "\n",
    "From the above three models, we can see that the trend remains same for all three models (of course all belong to same model family). \n",
    "\n",
    "Thanks to @the1owl, we got a great script which combines Extra trees with ridge to get a good score in the public LB \n",
    "https://www.kaggle.com/the1owl/two-sigma-financial-modeling/initial-script\n",
    "\n",
    "Let us build the extra trees model and see how the cumulative R value changes. We shall use 25 trees instead of 100 just for the sake of run time.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "_cell_guid": "d93a6a0a-35d4-bbe7-dfb0-a96a052bedf9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.5/site-packages/ipykernel/__main__.py:13: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building ET..\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor(bootstrap=False, criterion='mse', max_depth=4,\n",
       "          max_features='auto', max_leaf_nodes=None,\n",
       "          min_impurity_split=1e-07, min_samples_leaf=1,\n",
       "          min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "          n_estimators=25, n_jobs=-1, oob_score=False, random_state=123,\n",
       "          verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "env = kagglegym.make()\n",
    "o = env.reset()\n",
    "\n",
    "excl = [env.ID_COL_NAME, env.SAMPLE_COL_NAME, env.TARGET_COL_NAME, env.TIME_COL_NAME]\n",
    "col = [c for c in o.train.columns if c not in excl]\n",
    "\n",
    "train = o.train[col]\n",
    "d_mean= train.median(axis=0)\n",
    "\n",
    "train = o.train[col]\n",
    "n = train.isnull().sum(axis=1)\n",
    "for c in train.columns:\n",
    "    train[c + '_nan_'] = pd.isnull(train[c])\n",
    "    d_mean[c + '_nan_'] = 0\n",
    "train = train.fillna(d_mean)\n",
    "train['znull'] = n\n",
    "\n",
    "print(\"Building ET..\")\n",
    "model_et = ExtraTreesRegressor(n_estimators=25, max_depth=4, n_jobs=-1, random_state=123, verbose=0)\n",
    "model_et.fit(train, o.train['y'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "_cell_guid": "41b5f01e-c8b2-e6fc-88bf-cc31b42b8f4d"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.5/site-packages/ipykernel/__main__.py:21: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Timestamp #1000\n",
      "Timestamp #1100\n",
      "Timestamp #1200\n",
      "Timestamp #1300\n",
      "Timestamp #1400\n",
      "Timestamp #1500\n",
      "Timestamp #1600\n",
      "Timestamp #1700\n",
      "Timestamp #1800\n",
      "{'public_score': 0.021516721600245925}\n"
     ]
    }
   ],
   "source": [
    "env = kagglegym.make()\n",
    "o = env.reset()\n",
    "\n",
    "#https://www.kaggle.com/ymcdull/two-sigma-financial-modeling/ridge-lb-0-0100659\n",
    "ymean_dict = dict(o.train.groupby([\"id\"])[\"y\"].median())\n",
    "def get_weighted_y(series):\n",
    "    id, y = series[\"id\"], series[\"y\"]\n",
    "    return 0.95 * y + 0.05 * ymean_dict[id] if id in ymean_dict else y\n",
    "\n",
    "y_actual_list = []\n",
    "y_pred_list = []\n",
    "et_overall_reward_list = []\n",
    "ts_list = []\n",
    "while True:\n",
    "    timestamp = o.features[\"timestamp\"][0]\n",
    "    actual_y = list(full_df[full_df[\"timestamp\"] == timestamp][\"y\"].values)\n",
    "    \n",
    "    test = o.features[col]\n",
    "    n = test.isnull().sum(axis=1)\n",
    "    for c in test.columns:\n",
    "        test[c + '_nan_'] = pd.isnull(test[c])\n",
    "    test = test.fillna(d_mean)\n",
    "    test['znull'] = n\n",
    "    \n",
    "    pred = o.target\n",
    "    pred['y'] = model_et.predict(test).clip(low_y_cut, high_y_cut) \n",
    "    pred['y'] = pred.apply(get_weighted_y, axis = 1)\n",
    "    o, reward, done, info = env.step(pred[['id','y']])\n",
    "    \n",
    "    pred_y = list(pred.y.values)\n",
    "    y_actual_list.extend(actual_y)\n",
    "    y_pred_list.extend(pred_y)\n",
    "    overall_reward = get_reward(np.array(y_actual_list), np.array(y_pred_list))\n",
    "    et_overall_reward_list.append(overall_reward)\n",
    "    ts_list.append(timestamp)\n",
    "    \n",
    "    if timestamp % 100 == 0:\n",
    "        print(\"Timestamp #{}\".format(timestamp))\n",
    "    \n",
    "    if done:\n",
    "        print(info)\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "ee2eb4f8-3e4c-70f2-5356-e717c910a75a"
   },
   "source": [
    "Let us look at how the R value of the Extra trees model along with univariate ridge model (since univariate ridge is used in best public script)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "_cell_guid": "55c1b4e9-b408-9813-99f7-b7d3a32911ae"
   },
   "outputs": [
    {
     "data": {
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ctXwKP378EnZO71Yk59wGM/sRfx1qU7hr8QL8w49/mZ9ffSu+RbmsgVNZ74N/AkcCUwNl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\n0rZt1izZ13XXwZtvNi/sDQz+iGzdqj/XhHnD30lbHPOk+tuv7298xgx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Jh5cw7xMnydxz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RaU0K5vHuBIe/eZweBXMREREREZFW1GLB3BiTaYx53hhTbIw5bIx5yhiTEsN19xlj9hpjyowx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\nYM6cOW3qNm3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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f04558c12b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.plot(ts_list, et_overall_reward_list, c='blue', label='Extra Trees')\n",
    "ax.plot(ts_list, r1_overall_reward_list, c='green', label='Ridge-1')\n",
    "ax.plot(ts_list, [0]*len(ts_list), c='red', label='zero line')\n",
    "ax.legend(loc='lower right')\n",
    "ax.set_ylim([-0.04,0.04])\n",
    "ax.set_xlim([850, 1850])\n",
    "plt.title(\"Cumulative R value change for Extra Trees\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "9e31730a-871d-5e71-4151-35dfd9ebfc36"
   },
   "source": [
    "The macro trend remains almost similar. R value of both the models dip below 0 in the intermediate time stamps and is above zero towards the end.\n",
    "\n",
    "But we can also clearly notice that there is some variability in the Extra Tress model when compared with the ridge model. I think this helps in the model prediction when both are combined together. I also think this is the reason we are getting an improvement in the public LB score. \n",
    "\n",
    "**Inferences:**\n",
    "\n",
    "If we could build a model which predicts good for the sub-zero R value timestamps (my hunch says it is hard though) and combine it with our existing best performing public models, it may be a good way to hedge the risk of overfitting.\n",
    "\n",
    "Combining many models together might also be helpful to combat the overfitting risk (as it is proved by the best public script as well).\n",
    "\n",
    "Happy Kaggling. Thank you.!"
   ]
  }
 ],
 "metadata": {
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  "_is_fork": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
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